Company Summary DISH, an EchoStar company, has been reimagining the future of connectivity for more than 40 years. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products and now we are building Americas First Smart Network. Today, our brands include EchoStar, Hughes, DISH TV, Sling TV, Boost Mobile and Gen Mobile. Department Summary Our Technology teams challenge the status quo and reimagine capabilities across industries. Whether through research and development, technology innovation or solution engineering, our people play vital roles in connecting consumers with the products and platforms of tomorrow. Job Duties and Responsibilities Key Responsibilities: Deploy enterprise-ready, secure, and compliant data-oriented solutions leveraging Data Warehouse, Big Data, and Machine Learning frameworks Optimizing data engineering and machine learning pipelines Reviews architectural designs to ensure consistency & alignment with defined target architecture and adherence to established architecture standards Support data and cloud transformation initiatives Contribute to our cloud strategy based on prior experience Understand the latest technologies in a rapidly innovative marketplace Independently work with all stakeholders across the organization to deliver point and strategic solutions Assist solution providers with the definition and implementation of technical and business strategies Skills, Experience and Requirements Education and Experience: Bachelor's Degree in a technical field 12 years of experience working as a Data Warehouse/Big Data Architect Experience in AWS cloud transformation projects is required Telecommunication domain experience is preferred Skills and Qualifications: AWS services such as EMR, Glue, S3, Athena, DynamoDB, IAM, Lambda, Cloudwatch, and Data Pipeline Advanced Apache Spark processing framework, and spark programming languages such as Scala/Python/Advanced Java with sound knowledge in shell scripting Logical & physical table design in Big Data environments to suit processing frameworks Functional programming and Spark SQL programming dealing with processing terabytes of data Specific experience in writing Big Data engineering for large-scale data integration in AWS; prior experience in writing Machine Learning data pipelines using Spark programming language is an added advantage Advanced SQL experience including SQL performance tuning is a must Big data frameworks such as MapReduce, HDFS, Hive/Impala, AWS Athena Knowledge of using, setting up, and tuning resource management frameworks such as Yarn, Mesos, or standalone spark Knowledge in a variety of data platforms such as Redshift, S3, Teradata, Hbase, MySQL/Postgres, MongoDB LI-CH2 Salary Ranges Compensation: $146,300.00/Year - $209,000.00/Year Benefits We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: DISH Benefits . The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location. Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws. The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.

Company Summary DISH, an EchoStar company, has been reimagining the future of connectivity for more than 40 years. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products and now we are building America’s First Smart Network™. Today, our brands include EchoStar, Hughes, DISH TV, Sling TV, Boost Mobile and Gen Mobile. Department Summary Our Technology teams challenge the status quo and reimagine capabilities across industries. Whether through research and development, technology innovation or solution engineering, our people play vital roles in connecting consumers with the products and platforms of tomorrow. Job Duties and Responsibilities Key Responsibilities: Deploy enterprise-ready, secure, and compliant data-oriented solutions leveraging Data Warehouse, Big Data, and Machine Learning frameworks Optimizing data engineering and machine learning pipelines Reviews architectural designs to ensure consistency & alignment with defined target architecture and adherence to established architecture standards Support data and cloud transformation initiatives Contribute to our cloud strategy based on prior experience Understand the latest technologies in a rapidly innovative marketplace Independently work with all stakeholders across the organization to deliver point and strategic solutions Assist solution providers with the definition and implementation of technical and business strategies Skills, Experience and Requirements Education and Experience: Bachelor's Degree in a technical field 12 years of experience working as a Data Warehouse/Big Data Architect Experience in AWS cloud transformation projects is required Telecommunication domain experience is preferred Skills and Qualifications: AWS services such as EMR, Glue, S3, Athena, DynamoDB, IAM, Lambda, Cloudwatch, and Data Pipeline Advanced Apache Spark processing framework, and spark programming languages such as Scala/Python/Advanced Java with sound knowledge in shell scripting Logical & physical table design in Big Data environments to suit processing frameworks Functional programming and Spark SQL programming dealing with processing terabytes of data Specific experience in writing Big Data engineering for large-scale data integration in AWS; prior experience in writing Machine Learning data pipelines using Spark programming language is an added advantage Advanced SQL experience including SQL performance tuning is a must Big data frameworks such as MapReduce, HDFS, Hive/Impala, AWS Athena Knowledge of using, setting up, and tuning resource management frameworks such as Yarn, Mesos, or standalone spark Knowledge in a variety of data platforms such as Redshift, S3, Teradata, Hbase, MySQL/Postgres, MongoDB LI-CH2 Salary Ranges Compensation: $146,300.00/Year - $209,000.00/Year Benefits We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: DISH Benefits . The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location. Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws. The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.

Company Summary

DISH, an EchoStar company, has been reimagining the future of connectivity for more than 40 years. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products and now we are building America’s First Smart Network™.
Today, our brands include EchoStar, Hughes, DISH TV, Sling TV, Boost Mobile and Gen Mobile.

Department Summary

Our Technology teams challenge the status quo and reimagine capabilities across industries. Whether through research and development, technology innovation or solution engineering, our people play vital roles in connecting consumers with the products and platforms of tomorrow.

Job Duties and Responsibilities

Key Responsibilities:

• Deploy enterprise-ready, secure, and compliant data-oriented solutions leveraging Data Warehouse, Big Data, and Machine Learning frameworks
• Optimizing data engineering and machine learning pipelines
• Reviews architectural designs to ensure consistency & alignment with defined target architecture and adherence to established architecture standards
• Support data and cloud transformation initiatives
• Contribute to our cloud strategy based on prior experience
• Understand the latest technologies in a rapidly innovative marketplace
• Independently work with all stakeholders across the organization to deliver point and strategic solutions
• Assist solution providers with the definition and implementation of technical and business strategies

Skills, Experience and Requirements

Education and Experience:

• Bachelor's Degree in a technical field
• 12+ years of experience working as a Data Warehouse/Big Data Architect
• Experience in AWS cloud transformation projects is required
• Telecommunication domain experience is preferred

Skills and Qualifications:

• AWS services such as EMR, Glue, S3, Athena, DynamoDB, IAM, Lambda, Cloudwatch, and Data Pipeline
• Advanced Apache Spark processing framework, and spark programming languages such as Scala/Python/Advanced Java with sound knowledge in shell scripting
• Logical & physical table design in Big Data environments to suit processing frameworks
• Functional programming and Spark SQL programming dealing with processing terabytes of data
• Specific experience in writing Big Data engineering for large-scale data integration in AWS; prior experience in writing Machine Learning data pipelines using Spark programming language is an added advantage
• Advanced SQL experience including SQL performance tuning is a must
• Big data frameworks such as MapReduce, HDFS, Hive/Impala, AWS Athena
• Knowledge of using, setting up, and tuning resource management frameworks such as Yarn, Mesos, or standalone spark
• Knowledge in a variety of data platforms such as Redshift, S3, Teradata, Hbase, MySQL/Postgres, MongoDB

#LI-CH2

Salary Ranges
Compensation: $146,300.00/Year - $209,000.00/Year
Benefits

We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: DISH Benefits.

The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location.

Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws.

The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.

The compensation range for this full-time position applies to candidates located within the United States. Our salary ranges are determined by reviewing roles of similar responsibility and level. Within the salary range, individual pay is determined by several factors including performance, knowledge, job-related skills, experience, and relevant education or training. Schneider Electric also offers a comprehensive benefits package to support our employees, inclusive of medical (with member reward points), dental, vision, and basic life insurance, Benefit Bucks (credits to apply towards your benefits) flexible work arrangements, paid family leaves, 401(k) + match, well-being and recognition (including service anniversary) programs, 12 holidays per year, 15 days of paid time off per year (pro-rated in the first year of employment based on start date), opportunity to purchase company stock (eligibility depends on start date), and military leave benefits.
You must submit an online application to be considered for the position. The Company will accept applications on an ongoing basis until the position is filled.
Schneider Electric creates connected technologies that reshape industries, transform cities and enrich lives. Our 150,000+ employees thrive in more than 118 countries. From the simplest of switches to complex operational systems, our technology, software and services improve the way our customers manage and automate their operations. Help us deliver solutions that ensure Life Is On everywhere, for everyone and at every moment.
Schneider Electric’s Sustainability business is undergoing an exciting Digital Transformation. Our mission is to deliver technology solutions that improve the ways of working, enable organizational efficiency, sustainable business growth, and advance operational excellence. This is a key role in our Digital Transformation, serving as the keystone for structuring data architecture that enables advanced analytics, drives strategic decision-making, and lays the foundation for a data-driven future.

Responsibilities:
As the IT Data Architect at Schneider Electric's Sustainability Business, you will play a crucial role in shaping the organization's data strategy, ensuring it aligns seamlessly with its business objectives and digital transformation initiatives, to harness the power of data as a strategic asset. In this pivotal role, you will leverage data as a strategic asset, crafting and deploying scalable solutions that meet current and future needs while guiding the progression of our data architecture practices. Through your analytical acumen and strong communication skills, you will lead data management efforts, mentor team members, and set the standard for data practices that support the strategic objectives of Schneider Electric's Sustainability Business.

Primary Duties:
Data Strategy Development:  Lead the creation and execution of a comprehensive data strategy that aligns with the organization's objectives, including data policies, standards, governance, and lifecycle management.
Cloud Data Architecture Development:  Design and implement cloud-based data solutions, leveraging services such as AWS, Azure, or Google Cloud to build scalable and resilient data architectures that support distributed data storage and processing.
Design and Implement Data Solutions:  Architect high-performing database structures, data warehouses, and data lakes, ensuring they cater to both present and future business requirements and align with the data strategy and business goals.
Data Management and Governance:  Establish robust governance frameworks to ensure data accuracy, quality, security, and compliance with internal and external regulations.
Data Distribution Strategy:  Develop strategies for data distribution that ensure data availability, consistency, and fault tolerance across multiple geographic locations and platforms.
Data Access Patterns:  Define and implement efficient data access patterns and strategies to optimize for various use cases, such as transactional workloads, analytical processing, and real-time data access.
Advanced Data Integration Techniques:  Utilize modern data integration techniques, including streaming data pipelines and event-driven architectures, to facilitate real-time data processing and insights.
Performance Tuning:  Optimize data systems for performance and scalability, ensuring they support the data strategy and business intelligence needs.
Data Security and Compliance:  Implement comprehensive data security policies and procedures that align with the data strategy and protect the organization's data assets.
Technology Evaluation and Adoption:  Continuously assess and recommend new data technologies and data management tools that can enhance the data strategy and architecture.
Collaboration with Stakeholders:  Work closely with business leaders and IT teams to translate business needs into actionable data architectures that support and enhance business value.
Documentation and Communication:  Effectively document the data architecture and strategy and communicate these concepts to ensure understanding and adherence to strategic objectives.
Mentoring and Leadership:  Provide leadership in data-related areas of expertise, mentor junior staff, and foster a culture that supports the data strategy.
Develop and evolve Data Architecture Practice:
Contribute to Schneider Electric's Sustainability Business technology strategy with a focus on Data Architecture.
Establish and promote data architecture principles, standards, and best practices.
Provide technical mentorship and educate peers on best practices, technology trends, tools, and techniques.
Champion a structured data architecture governance model for robust application design.
Develop strategic roadmaps in partnership with business and tech leaders, considering budget, resource, and technical constraints.
What qualifications will make you successful?
Education:  Bachelor's degree in computer science, information technology, or related field; master’s degree in data science or a related field preferred.
Experience:  5-8+ Years Experience in data and data architecture related roles. Extensive experience in data architecture, with a strong foundation in both relational databases and modern cloud data architectures, including big data technologies and data pipeline tools.
Technical Skills:  Proficiency in SQL, database platforms (e.g., MySQL, Oracle, SQL Server), data warehousing, ETL processes, data modeling tools, and familiarity with cloud services (AWS, Azure, Google Cloud), big data technologies (Hadoop, Spark), and data pipeline tools (Apache Kafka, NiFi).
Strategic Thinking:  Ability to craft and execute a data strategy that integrates data analytics, data science, and machine learning to support business objectives and foster innovation.
Analytical Skills:  Strong analytical skills to solve complex problems, leverage data science techniques, and make informed decisions based on data analysis.
Communication Skills:  Excellent communication and interpersonal skills to articulate complex data strategies and collaborate effectively with stakeholders and cross-functional teams.
For this U.S. based position, the expected compensation range is $120,000 - $150,000 per year, which includes base pay.
Looking to make an IMPACT with your career?
When you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our  IMPACT values – Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork – starts with us.
IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world.
We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one.
Become an IMPACT Maker with Schneider Electric – apply today!
€36 billion global revenue
+13% organic growth
150 000+ employees in 100+ countries
#1 on the Global 100 World’s most sustainable corporations
You must submit an online application to be considered for any position with us. This position will be posted until filled.
Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and ‘inclusion’ is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do. This extends to our Candidates and is embedded in our Hiring Practices.

You can find out more about our commitment to Diversity, Equity and Inclusion here and our DEI Policy here
At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. You can find out more about our Trust Charter here

Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.

Company Summary

DISH, an EchoStar company, has been reimagining the future of connectivity for more than 40 years. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products and now we are building America’s First Smart Network™.

Today, our brands include EchoStar, Hughes, DISH TV, Sling TV, Boost Mobile and Gen Mobile.

Department Summary

Our Technology teams challenge the status quo and reimagine capabilities across industries. Whether through research and development, technology innovation or solution engineering, our people play vital roles in connecting consumers with the products and platforms of tomorrow.

Job Duties and Responsibilities

Key Responsibilities:

• Deploy enterprise-ready, secure, and compliant data-oriented solutions leveraging Data Warehouse, Big Data, and Machine Learning frameworks
• Optimizing data engineering and machine learning pipelines
• Reviews architectural designs to ensure consistency & alignment with defined target architecture and adherence to established architecture standards
• Support data and cloud transformation initiatives
• Contribute to our cloud strategy based on prior experience
• Understand the latest technologies in a rapidly innovative marketplace
• Independently work with all stakeholders across the organization to deliver point and strategic solutions
• Assist solution providers with the definition and implementation of technical and business strategies

Skills, Experience and Requirements

Education and Experience:

• Bachelor's Degree in a technical field
• 12+ years of experience working as a Data Warehouse/Big Data Architect
• Experience in AWS cloud transformation projects is required
• Telecommunication domain experience is preferred

Skills and Qualifications:

• AWS services such as EMR, Glue, S3, Athena, DynamoDB, IAM, Lambda, Cloudwatch, and Data Pipeline
• Advanced Apache Spark processing framework, and spark programming languages such as Scala/Python/Advanced Java with sound knowledge in shell scripting
• Logical & physical table design in Big Data environments to suit processing frameworks
• Functional programming and Spark SQL programming dealing with processing terabytes of data
• Specific experience in writing Big Data engineering for large-scale data integration in AWS; prior experience in writing Machine Learning data pipelines using Spark programming language is an added advantage
• Advanced SQL experience including SQL performance tuning is a must
• Big data frameworks such as MapReduce, HDFS, Hive/Impala, AWS Athena
• Knowledge of using, setting up, and tuning resource management frameworks such as Yarn, Mesos, or standalone spark
• Knowledge in a variety of data platforms such as Redshift, S3, Teradata, Hbase, MySQL/Postgres, MongoDB

#LI-CH2

Salary Ranges

Compensation: $146,300.00/Year - $209,000.00/Year
Benefits

We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: DISH Benefits.

The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location.

Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws.

The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.

Company SummaryDISH, an EchoStar company, has been reimagining the future of connectivity for more than 40 years. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products and now we are building Americas First Smart Network.Today, our brands include EchoStar, Hughes, DISH TV, Sling TV, Boost Mobile and Gen Mobile.Department SummaryOur Technology teams challenge the status quo and reimagine capabilities across industries. Whether through research and development, technology innovation or solution engineering, our people play vital roles in connecting consumers with the products and platforms of tomorrow.Job Duties and ResponsibilitiesKey Responsibilities:Deploy enterprise-ready, secure, and compliant data-oriented solutions leveraging Data Warehouse, Big Data, and Machine Learning frameworksOptimizing data engineering and machine learning pipelinesReviews architectural designs to ensure consistency &amp; alignment with defined target architecture and adherence to established architecture standardsSupport data and cloud transformation initiativesContribute to our cloud strategy based on prior experienceUnderstand the latest technologies in a rapidly innovative marketplaceIndependently work with all stakeholders across the organization to deliver point and strategic solutionsAssist solution providers with the definition and implementation of technical and business strategiesSkills, Experience and RequirementsEducation and Experience:Bachelor's Degree in a technical field12years of experience working as a Data Warehouse/Big Data ArchitectExperience in AWS cloud transformation projects is requiredTelecommunication domain experience is preferredSkills and Qualifications:AWS services such as EMR, Glue, S3, Athena, DynamoDB, IAM, Lambda, Cloudwatch, and Data PipelineAdvanced Apache Spark processing framework, and spark programming languages such as Scala/Python/Advanced Java with sound knowledge in shell scriptingLogical &amp; physical table design in Big Data environments to suit processing frameworksFunctional programming and Spark SQL programming dealing with processing terabytes of dataSpecific experience in writing Big Data engineering for large-scale data integration in AWS; prior experience in writing Machine Learning data pipelines using Spark programming language is an added advantageAdvanced SQL experience including SQL performance tuning is a mustBig data frameworks such as MapReduce, HDFS, Hive/Impala, AWS AthenaKnowledge of using, setting up, and tuning resource management frameworks such as Yarn, Mesos, or standalone sparkKnowledge in a variety of data platforms such as Redshift, S3, Teradata, Hbase, MySQL/Postgres, MongoDB#LI-CH2Salary RangesCompensation:$146,300.00/Year - $209,000.00/YearBenefitsWe offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: DISH Benefits.The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location.Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws.The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.RequiredPreferredJob IndustriesOther

Company Summary  DISH, an EchoStar company, has been reimagining the future of connectivity for more than 40 years. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products and now we are building Americas First Smart Network.

Today, our brands include EchoStar, Hughes, DISH TV, Sling TV, Boost Mobile and Gen Mobile.
Department Summary  Our Technology teams challenge the status quo and reimagine capabilities across industries. Whether through research and development, technology innovation or solution engineering, our people play vital roles in connecting consumers with the products and platforms of tomorrow.
Job Duties and Responsibilities   Key Responsibilities:
Deploy enterprise-ready, secure, and compliant data-oriented solutions leveraging Data Warehouse, Big Data, and Machine Learning frameworks
Optimizing data engineering and machine learning pipelines
Reviews architectural designs to ensure consistency & alignment with defined target architecture and adherence to established architecture standards
Support data and cloud transformation initiatives
Contribute to our cloud strategy based on prior experience
Understand the latest technologies in a rapidly innovative marketplace
Independently work with all stakeholders across the organization to deliver point and strategic solutions
Assist solution providers with the definition and implementation of technical and business strategies

Skills, Experience and Requirements   Education and Experience:
Bachelor's Degree in a technical field
12+ years of experience working as a Data Warehouse/Big Data Architect
Experience in AWS cloud transformation projects is required
Telecommunication domain experience is preferred
Skills and Qualifications:
AWS services such as EMR, Glue, S3, Athena, DynamoDB, IAM, Lambda, Cloudwatch, and Data Pipeline
Advanced Apache Spark processing framework, and spark programming languages such as Scala/Python/Advanced Java with sound knowledge in shell scripting
Logical & physical table design in Big Data environments to suit processing frameworks
Functional programming and Spark SQL programming dealing with processing terabytes of data
Specific experience in writing Big Data engineering for large-scale data integration in AWS; prior experience in writing Machine Learning data pipelines using Spark programming language is an added advantage
Advanced SQL experience including SQL performance tuning is a must
Big data frameworks such as MapReduce, HDFS, Hive/Impala, AWS Athena
Knowledge of using, setting up, and tuning resource management frameworks such as Yarn, Mesos, or standalone spark
Knowledge in a variety of data platforms such as Redshift, S3, Teradata, Hbase, MySQL/Postgres, MongoDB
#LI-CH2
Salary Ranges

Compensation: $146,300.00/Year - $209,000.00/Year
Benefits  We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: DISH Benefits.
The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location.
Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws.
The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.
Required    Preferred    Job Industries     Other

<p>Are you ready to own something big? Automox is turning IT admins into IT heroes by replacing traditional tools with our award winning cloud-native endpoint management platform. Our product works autonomously and so do our teams. We value a one team' mentality where everyone's unique skills contribute to an environment that encourages collaboration and ownership. At Automox you're enabled to do your best work, grow your career, and have an impact that will be noticeable. WE ARE A_TOMOX all that's missing is U COMPENSATION $200,000 - $250,000 USD Bonus LOCATION Remote - Work from home in the US or Ontario OVERVIEW We're a rapidly growing, venture-backed SaaS company reinventing IT Operations with our cloud-native platform. Our platform processes tens of thousands of events per second, helping enterprises monitor, manage, and optimize their IT infrastructure in real time. As we scale, we're looking for a veteran Data Architect to reimagine our data architecture and lead us into our next phase of growth. As our Data Architect, you'll own our next-generation data architecture's technical vision and implementation. You'll work directly with our engineering teams to design and implement scalable solutions to handle tens of thousands of concurrent events while maintaining sub-second latency. This is a unique opportunity to shape the foundation of a high-growth platform using cutting-edge AWS services and distributed systems patterns. WHAT YOU'LL BE DOING Lead the architectural design and implementation of our new data platform, focusing on scalability, reliability, and performance Design and implement real-time data processing pipelines capable of scaling to millions of events per second Architect solutions using AWS services such as Kinesis, DynamoDB, RedShift, and EMR Create data modeling standards and best practices for the engineering organization Collaborate with engineering teams to implement new data architecture patterns Develop migration strategies to transition from current architecture to new solutions Mentor engineers on data modeling and architectural best practices Partner with product management to align technical architecture with business goals BACKGROUND & SKILLS REQUIRED 8 years of experience in data architecture, with at least 3 years focused on high-throughput distributed systems Proven experience designing and implementing systems processing 1M events per second Deep expertise with AWS data services (Kinesis, DynamoDB, RedShift, S3, EMR) Strong background in data modeling for both operational and analytical workloads Experience with real-time stream processing frameworks (Apache Kafka, Amazon Kinesis) Track record of successfully re-architecting large-scale production systems Expertise in distributed systems patterns and eventual consistency models NICE TO HAVES Experience with IT Operations or observability platforms Knowledge of time-series databases (Prometheus, InfluxDB, Timestream) Background in implementing data mesh or data lake architectures Experience with Apache Cassandra or other distributed databases Familiarity with OpenTelemetry and similar observability standards Track record of technical leadership in a high-growth environment TECH STACK AWS (Primary cloud platform) Kafka/Kinesis for event streaming DynamoDB, PostgreSQL, Redis Kubernetes for container orchestration Python, Go, Java (primary languages) Modern CI/CD practices This is a unique opportunity to join a fast-growing company and make a significant impact on our technical foundation. We're looking for someone excited about solving complex distributed systems challenges and can help us scale our platform to the next level LOCATION We are a fully distributed company with remote workers in concentrated areas across the United States. Note: We currently don't hire in California or New York metro EMPLOYMENT AT AUTOMOX ? Must be able to pas a federal, state, county background check ? Complete a local in-person verification TOTAL REWARDS: Thrive with Us Beyond the Status Quo Work from almost anywhere in the USA Competitive Salary Equity for Full-Time Employees 401K Match Flexible PTO, generous sick time policy $20 a month to connect virtually with colleagues Health & Wellness Comprehensive Health Plans with generous employer contributions 100% Company-paid Short Term/Long Term Disability and Life Insurance</p>

Data Architect Jobs in Boulder, CO

Big Data Architect
December 18, 2024

Big Data Architect
December 12, 2024

Dish Big Data Architect Boulder Co
December 8, 2024

It Data Architect
December 7, 2024

Big Data Architect
December 7, 2024

Big Data Architect
December 6, 2024

Big Data Architect
December 3, 2024

Big Data Architect
December 2, 2024

Principal Data Architect
December 1, 2024

Quick filters

Top companies

Data Architect Jobs in Boulder, CO

Big Data ArchitectDecember 18, 2024

Big Data ArchitectDecember 12, 2024

Dish Big Data Architect Boulder CoDecember 8, 2024

It Data ArchitectDecember 7, 2024

Big Data ArchitectDecember 7, 2024

Big Data ArchitectDecember 6, 2024

Big Data ArchitectDecember 3, 2024

Big Data ArchitectDecember 2, 2024

Principal Data ArchitectDecember 1, 2024