Are you passionate about designing data architectures that support seamless access, scalability, and security for modern applications? Do you excel at creating robust data infrastructure that empowers data-driven insights and decision-making? If you're ready to architect data solutions that are both innovative and resilient, our client has the perfect role for you. We're seeking a Data Architect (aka The Data Infrastructure Visionary) to design, build, and optimize data frameworks that support analytical needs, enable efficient data flow, and uphold data integrity. As a Data Architect at our client, you'll work with data engineers, analysts, and business stakeholders to develop a data infrastructure that ensures data accessibility, accuracy, and security. Your role will be pivotal in setting the foundation for data management across the organization, from database design to data warehousing and integration strategies. Key Responsibilities: <ol> <li>Design and Implement Data Architecture:</li> <ul><li>Architect and implement a scalable, high-performance data infrastructure to support business analytics, data science, and operational reporting. You'll design data models, storage solutions, and integration strategies that meet organizational needs.</li></ul> <li>Develop Data Governance and Security Policies:</li> <ul><li>Create data governance frameworks and enforce data security policies to ensure data accuracy, privacy, and compliance. You'll establish data access controls and implement best practices for data quality management.</li></ul> <li>Collaborate on Data Strategy and Roadmaps:</li> <ul><li>Work closely with executive leadership, data engineers, and analysts to align the data architecture with the company's strategic goals. You'll define data roadmaps and plan for future scalability.</li></ul> <li>Optimize Data Storage Solutions:</li> <ul><li>Design and manage data warehousing solutions, such as Snowflake, BigQuery, or Redshift, to facilitate efficient data storage and retrieval. You'll ensure data systems are optimized for performance and cost-efficiency.</li></ul> <li>Support Data Integration and ETL Processes:</li> <ul><li>Develop and oversee ETL pipelines to ensure seamless integration of data from multiple sources. You'll ensure that data flows are consistent and accurate across platforms.</li></ul> <li>Implement Advanced Analytics Frameworks:</li> <ul><li>Enable advanced analytics by building architecture that supports machine learning and predictive analytics. You'll work closely with data scientists to ensure data is structured for model training and testing.</li></ul> <li>Document and Maintain Data Architecture:</li> <ul><li>Create comprehensive documentation of data architectures, schemas, and best practices. You'll ensure clear, up-to-date records that support scalability and team collaboration.</li></ul> </ol> Requirements Required Skills: <ul> <li> Data Architecture Expertise: Extensive experience in designing and implementing data architectures, including data modeling, data warehousing, and data lakes.</li> <li> Cloud Data Platform Knowledge: Proficiency with cloud data services such as AWS, GCP, or Azure, and hands-on experience with cloud-native storage solutions like BigQuery, Redshift, or Azure SQL Data Warehouse.</li> <li> ETL and Data Integration: Strong understanding of ETL processes, data integration, and data transformation best practices. Familiarity with tools such as Apache NiFi, Talend, or Apache Airflow.</li> <li> Data Governance and Security: Expertise in setting up data governance frameworks, data quality standards, and data security policies. You're skilled at implementing access controls and compliance protocols.</li> <li> Communication and Collaboration: Proven ability to work cross-functionally with data engineers, analysts, and business stakeholders. You can communicate technical concepts clearly to both technical and non-technical audiences.</li> </ul> Educational Requirements: <ul> <li> Bachelor's or Master's degree in Computer Science, Data Management, Information Technology, or a related field. Equivalent experience in data architecture and management may be considered.</li> <li>Certifications in data architecture or cloud data platforms (e.g., AWS Certified Solutions Architect, Google Professional Data Engineer, Microsoft Certified: Azure Data Engineer Associate) are highly desirable.</li> </ul> Experience Requirements: <ul> <li> 5+ years of experience in data architecture or a related field, with a track record of designing and implementing data frameworks.</li> <li>Experience in data modeling, database design, and managing large-scale data storage solutions.</li> <li>Familiarity with big data frameworks like Apache Hadoop, Spark, or Databricks is a plus.</li> </ul> Benefits <ul> <li>Health and Wellness: Comprehensive medical, dental, and vision insurance plans with low co-pays and premiums.</li> <li>Paid Time Off: Competitive vacation, sick leave, and 20 paid holidays per year.</li> <li>Work-Life Balance: Flexible work schedules and telecommuting options.</li> <li>Professional Development: Opportunities for training, certification reimbursement, and career advancement programs.</li> <li>Wellness Programs: Access to wellness programs, including gym memberships, health screenings, and mental health resources.</li> <li>Life and Disability Insurance: Life insurance and short-term/long-term disability coverage.</li> <li>Employee Assistance Program (EAP): Confidential counseling and support services for personal and professional challenges.</li> <li>Tuition Reimbursement: Financial assistance for continuing education and professional development.</li> <li>Community Engagement: Opportunities to participate in community service and volunteer activities.</li> <li>Recognition Programs: Employee recognition programs to celebrate achievements and milestones.</li> </ul>

Company Overview: Welcome to the forefront of data-driven innovation! Our company is dedicated to harnessing the power of data to drive transformative change and solve complex problems across industries. We're committed to building cutting-edge data architecture solutions that enable efficient data management, storage, and analytics. Join us and lead our efforts in shaping the future of data architecture.Position Overview: As the Lead Data Architect, you will play a pivotal role in leading our data architecture initiatives and driving the design, implementation, and optimization of our data architecture solutions. You will lead a team of skilled architects and engineers, collaborating closely with cross-functional teams to deliver high-quality data architecture solutions that meet the evolving needs of our data-driven organization. If you're a seasoned architect with expertise in data architecture technologies and a proven track record of leadership in delivering successful data projects, we invite you to join us in this exciting opportunity.Key Responsibilities:<ol> <li>Technical Leadership: Provide guidance, mentorship, and technical leadership to a team of data architects and engineers, fostering a culture of excellence and innovation.</li> <li>Data Architecture Design: Lead the design and development of our data architecture solutions, including data models, schemas, and architecture, to meet business requirements and ensure efficient data management and storage.</li> <li>Data Modeling: Lead efforts to design and implement data models and schemas to support analytical and operational requirements, ensuring data integrity, consistency, and performance.</li> <li>Data Integration: Lead the design and implementation of data integration solutions to integrate data from various sources into a unified data architecture, ensuring seamless data flow and interoperability.</li> <li>Data Governance: Define and implement data governance policies and procedures to ensure data quality, security, and compliance with regulatory requirements.</li> <li>Performance Optimization: Lead efforts to optimize data architecture performance through indexing, partitioning, and other techniques, ensuring scalability and responsiveness for analytical and reporting needs.</li> <li>Metadata Management: Establish and maintain metadata management processes to capture and maintain metadata for data assets, ensuring data lineage, governance, and traceability.</li> <li>Data Security: Lead efforts to implement data security controls and encryption mechanisms to protect sensitive data assets and ensure compliance with security standards and regulations.</li> <li>Documentation and Best Practices: Define and promote best practices for data architecture design and development, ensuring clear and comprehensive documentation to facilitate understanding and collaboration among team members.</li> <li>Collaboration: Collaborate with cross-functional teams, including data engineers, data scientists, and business analysts, to understand requirements and deliver data architecture solutions that meet business needs.</li> <li>Mentorship and Development: Mentor and coach junior architects and engineers, providing guidance, support, and opportunities for skill development and career growth.</li> </ol>Qualifications:<ul> <li>Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field.</li> <li>10+ years of experience in data architecture, with significant experience in designing, building, and optimizing data architecture solutions.</li> <li>Proven leadership experience, with a track record of successfully leading data architecture teams and delivering complex projects.</li> <li>Proficiency in data modeling tools and techniques, with experience designing and implementing data models and schemas for data warehouses, data lakes, and other data systems.</li> <li>Strong understanding of data integration concepts and techniques, with experience integrating data from diverse sources and systems.</li> <li>Experience with data governance frameworks and best practices, including data quality management, metadata management, and data lineage tracking.</li> <li>Strong problem-solving skills and analytical thinking, with the ability to design and troubleshoot complex data architecture issues.</li> <li>Excellent communication and collaboration skills, with the ability to effectively interact with technical and non-technical stakeholders.</li> </ul>Join Us: Ready to lead the charge in data architecture? Apply now to join our team and be part of the data revolution!
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Are you passionate about designing data architectures that support seamless access, scalability, and security for modern applications? Do you excel at creating robust data infrastructure that empowers data-driven insights and decision-making? If you're ready to architect data solutions that are both innovative and resilient, our client has the perfect role for you. We're seeking a Data Architect (aka The Data Infrastructure Visionary) to design, build, and optimize data frameworks that support analytical needs, enable efficient data flow, and uphold data integrity. As a Data Architect at our client, you'll work with data engineers, analysts, and business stakeholders to develop a data infrastructure that ensures data accessibility, accuracy, and security. Your role will be pivotal in setting the foundation for data management across the organization, from database design to data warehousing and integration strategies. Key Responsibilities: <ol> <li>Design and Implement Data Architecture:</li> </ol><ul> <li>Architect and implement a scalable, high-performance data infrastructure to support business analytics, data science, and operational reporting. You'll design data models, storage solutions, and integration strategies that meet organizational needs. </li></ul> <li>Develop Data Governance and Security Policies:</li> <ul> <li>Create data governance frameworks and enforce data security policies to ensure data accuracy, privacy, and compliance. You'll establish data access controls and implement best practices for data quality management. </li></ul> <li>Collaborate on Data Strategy and Roadmaps:</li> <ul> <li>Work closely with executive leadership, data engineers, and analysts to align the data architecture with the company's strategic goals. You'll define data roadmaps and plan for future scalability. </li></ul> <li>Optimize Data Storage Solutions:</li> <ul> <li>Design and manage data warehousing solutions, such as Snowflake, BigQuery, or Redshift, to facilitate efficient data storage and retrieval. You'll ensure data systems are optimized for performance and cost-efficiency. </li></ul> <li>Support Data Integration and ETL Processes:</li> <ul> <li>Develop and oversee ETL pipelines to ensure seamless integration of data from multiple sources. You'll ensure that data flows are consistent and accurate across platforms. </li></ul> <li>Implement Advanced Analytics Frameworks:</li> <ul> <li>Enable advanced analytics by building architecture that supports machine learning and predictive analytics. You'll work closely with data scientists to ensure data is structured for model training and testing. </li></ul> <li>Document and Maintain Data Architecture:</li> <ul> <li>Create comprehensive documentation of data architectures, schemas, and best practices. You'll ensure clear, up-to-date records that support scalability and team collaboration. </li></ul>Requirements Required Skills: <ul> <li> Data Architecture Expertise: Extensive experience in designing and implementing data architectures, including data modeling, data warehousing, and data lakes.</li> <li> Cloud Data Platform Knowledge: Proficiency with cloud data services such as AWS, GCP, or Azure, and hands-on experience with cloud-native storage solutions like BigQuery, Redshift, or Azure SQL Data Warehouse.</li> <li> ETL and Data Integration: Strong understanding of ETL processes, data integration, and data transformation best practices. Familiarity with tools such as Apache NiFi, Talend, or Apache Airflow.</li> <li> Data Governance and Security: Expertise in setting up data governance frameworks, data quality standards, and data security policies. You're skilled at implementing access controls and compliance protocols.</li> <li> Communication and Collaboration: Proven ability to work cross-functionally with data engineers, analysts, and business stakeholders. You can communicate technical concepts clearly to both technical and non-technical audiences.</li> </ul>Educational Requirements: <ul> <li> Bachelor's or Master's degree in Computer Science, Data Management, Information Technology, or a related field. Equivalent experience in data architecture and management may be considered.</li> <li>Certifications in data architecture or cloud data platforms (e.g., AWS Certified Solutions Architect, Google Professional Data Engineer, Microsoft Certified: Azure Data Engineer Associate) are highly desirable.</li> </ul>Experience Requirements: <ul> <li> 5+ years of experience in data architecture or a related field, with a track record of designing and implementing data frameworks.</li> <li>Experience in data modeling, database design, and managing large-scale data storage solutions.</li> <li>Familiarity with big data frameworks like Apache Hadoop, Spark, or Databricks is a plus.</li> </ul>Benefits <ul> <li>Health and Wellness: Comprehensive medical, dental, and vision insurance plans with low co-pays and premiums.</li> <li>Paid Time Off: Competitive vacation, sick leave, and 20 paid holidays per year.</li> <li>Work-Life Balance: Flexible work schedules and telecommuting options.</li> <li>Professional Development: Opportunities for training, certification reimbursement, and career advancement programs.</li> <li>Wellness Programs: Access to wellness programs, including gym memberships, health screenings, and mental health resources.</li> <li>Life and Disability Insurance: Life insurance and short-term/long-term disability coverage.</li> <li>Employee Assistance Program (EAP): Confidential counseling and support services for personal and professional challenges.</li> <li>Tuition Reimbursement: Financial assistance for continuing education and professional development.</li> <li>Community Engagement: Opportunities to participate in community service and volunteer activities.</li> <li>Recognition Programs: Employee recognition programs to celebrate achievements and milestones.</li> </ul>

<h3>Job Description</h3><div>Job Description<div>Are you passionate about designing data architectures that support seamless access, scalability, and security for modern applications? Do you excel at creating robust data infrastructure that empowers data-driven insights and decision-making? If you’re ready to architect data solutions that are both innovative and resilient, our client has the perfect role for you. We’re seeking a Data Architect (aka The Data Infrastructure Visionary) to design, build, and optimize data frameworks that support analytical needs, enable efficient data flow, and uphold data integrity.As a Data Architect at our client, you’ll work with data engineers, analysts, and business stakeholders to develop a data infrastructure that ensures data accessibility, accuracy, and security. Your role will be pivotal in setting the foundation for data management across the organization, from database design to data warehousing and integration strategies.Key Responsibilities:<ol><li>Design and Implement Data Architecture:</li><ul><li>Architect and implement a scalable, high-performance data infrastructure to support business analytics, data science, and operational reporting. You’ll design data models, storage solutions, and integration strategies that meet organizational needs.</li></ul><li>Develop Data Governance and Security Policies:</li><ul><li>Create data governance frameworks and enforce data security policies to ensure data accuracy, privacy, and compliance. You’ll establish data access controls and implement best practices for data quality management.</li></ul><li>Collaborate on Data Strategy and Roadmaps:</li><ul><li>Work closely with executive leadership, data engineers, and analysts to align the data architecture with the company’s strategic goals. You’ll define data roadmaps and plan for future scalability.</li></ul><li>Optimize Data Storage Solutions:</li><ul><li>Design and manage data warehousing solutions, such as Snowflake, BigQuery, or Redshift, to facilitate efficient data storage and retrieval. You’ll ensure data systems are optimized for performance and cost-efficiency.</li></ul><li>Support Data Integration and ETL Processes:</li><ul><li>Develop and oversee ETL pipelines to ensure seamless integration of data from multiple sources. You’ll ensure that data flows are consistent and accurate across platforms.</li></ul><li>Implement Advanced Analytics Frameworks:</li><ul><li>Enable advanced analytics by building architecture that supports machine learning and predictive analytics. You’ll work closely with data scientists to ensure data is structured for model training and testing.</li></ul><li>Document and Maintain Data Architecture:</li><ul><li>Create comprehensive documentation of data architectures, schemas, and best practices. You’ll ensure clear, up-to-date records that support scalability and team collaboration.</li></ul></ol>RequirementsRequired Skills:<ul><li>Data Architecture Expertise: Extensive experience in designing and implementing data architectures, including data modeling, data warehousing, and data lakes.</li><li>Cloud Data Platform Knowledge: Proficiency with cloud data services such as AWS, GCP, or Azure, and hands-on experience with cloud-native storage solutions like BigQuery, Redshift, or Azure SQL Data Warehouse.</li><li>ETL and Data Integration: Strong understanding of ETL processes, data integration, and data transformation best practices. Familiarity with tools such as Apache NiFi, Talend, or Apache Airflow.</li><li>Data Governance and Security: Expertise in setting up data governance frameworks, data quality standards, and data security policies. You’re skilled at implementing access controls and compliance protocols.</li><li>Communication and Collaboration: Proven ability to work cross-functionally with data engineers, analysts, and business stakeholders. You can communicate technical concepts clearly to both technical and non-technical audiences.</li></ul>Educational Requirements:<ul><li>Bachelor’s or Master’s degree in Computer Science, Data Management, Information Technology, or a related field. Equivalent experience in data architecture and management may be considered.</li><li>Certifications in data architecture or cloud data platforms (e.g., AWS Certified Solutions Architect, Google Professional Data Engineer, Microsoft Certified: Azure Data Engineer Associate) are highly desirable.</li></ul>Experience Requirements:<ul><li>5+ years of experience in data architecture or a related field, with a track record of designing and implementing data frameworks.</li><li>Experience in data modeling, database design, and managing large-scale data storage solutions.</li><li>Familiarity with big data frameworks like Apache Hadoop, Spark, or Databricks is a plus.</li></ul>Benefits<ul><li>Health and Wellness: Comprehensive medical, dental, and vision insurance plans with low co-pays and premiums.</li><li>Paid Time Off: Competitive vacation, sick leave, and 20 paid holidays per year.</li><li>Work-Life Balance: Flexible work schedules and telecommuting options.</li><li>Professional Development: Opportunities for training, certification reimbursement, and career advancement programs.</li><li>Wellness Programs: Access to wellness programs, including gym memberships, health screenings, and mental health resources.</li><li>Life and Disability Insurance: Life insurance and short-term/long-term disability coverage.</li><li>Employee Assistance Program (EAP): Confidential counseling and support services for personal and professional challenges.</li><li>Tuition Reimbursement: Financial assistance for continuing education and professional development.</li><li>Community Engagement: Opportunities to participate in community service and volunteer activities.</li><li>Recognition Programs: Employee recognition programs to celebrate achievements and milestones.</li></ul></div></div>

<h3>Job Description</h3><div>Job Description<div>Company Overview: Welcome to the forefront of data-driven innovation! Our company is dedicated to harnessing the power of data to drive transformative change and solve complex problems across industries. We're committed to building cutting-edge data architecture solutions that enable efficient data management, storage, and analytics. Join us and lead our efforts in shaping the future of data architecture.Position Overview: As the Lead Data Architect, you will play a pivotal role in leading our data architecture initiatives and driving the design, implementation, and optimization of our data architecture solutions. You will lead a team of skilled architects and engineers, collaborating closely with cross-functional teams to deliver high-quality data architecture solutions that meet the evolving needs of our data-driven organization. If you're a seasoned architect with expertise in data architecture technologies and a proven track record of leadership in delivering successful data projects, we invite you to join us in this exciting opportunity.RequirementsKey Responsibilities:<ol><li>Technical Leadership: Provide guidance, mentorship, and technical leadership to a team of data architects and engineers, fostering a culture of excellence and innovation.</li><li>Data Architecture Design: Lead the design and development of our data architecture solutions, including data models, schemas, and architecture, to meet business requirements and ensure efficient data management and storage.</li><li>Data Modeling: Lead efforts to design and implement data models and schemas to support analytical and operational requirements, ensuring data integrity, consistency, and performance.</li><li>Data Integration: Lead the design and implementation of data integration solutions to integrate data from various sources into a unified data architecture, ensuring seamless data flow and interoperability.</li><li>Data Governance: Define and implement data governance policies and procedures to ensure data quality, security, and compliance with regulatory requirements.</li><li>Performance Optimization: Lead efforts to optimize data architecture performance through indexing, partitioning, and other techniques, ensuring scalability and responsiveness for analytical and reporting needs.</li><li>Metadata Management: Establish and maintain metadata management processes to capture and maintain metadata for data assets, ensuring data lineage, governance, and traceability.</li><li>Data Security: Lead efforts to implement data security controls and encryption mechanisms to protect sensitive data assets and ensure compliance with security standards and regulations.</li><li>Documentation and Best Practices: Define and promote best practices for data architecture design and development, ensuring clear and comprehensive documentation to facilitate understanding and collaboration among team members.</li><li>Collaboration: Collaborate with cross-functional teams, including data engineers, data scientists, and business analysts, to understand requirements and deliver data architecture solutions that meet business needs.</li><li>Mentorship and Development: Mentor and coach junior architects and engineers, providing guidance, support, and opportunities for skill development and career growth.</li></ol> Qualifications:<ul><li>Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field.</li><li>10+ years of experience in data architecture, with significant experience in designing, building, and optimizing data architecture solutions.</li><li>Proven leadership experience, with a track record of successfully leading data architecture teams and delivering complex projects.</li><li>Proficiency in data modeling tools and techniques, with experience designing and implementing data models and schemas for data warehouses, data lakes, and other data systems.</li><li>Strong understanding of data integration concepts and techniques, with experience integrating data from diverse sources and systems.</li><li>Experience with data governance frameworks and best practices, including data quality management, metadata management, and data lineage tracking.</li><li>Strong problem-solving skills and analytical thinking, with the ability to design and troubleshoot complex data architecture issues.</li><li>Excellent communication and collaboration skills, with the ability to effectively interact with technical and non-technical stakeholders.</li></ul>Benefits<ul><li>Competitive salary: The industry standard salary for Lead Data Architects typically ranges from $210,000 to $300,000 per year, depending on experience and qualifications.</li><li>Comprehensive benefits package, including health insurance, retirement plans, and wellness programs.</li><li>Flexible work arrangements, including remote work options and flexible hours.</li><li>Generous vacation and paid time off.</li><li>Professional development opportunities, including access to training programs, conferences, and workshops.</li><li>State-of-the-art technology environment with access to cutting-edge tools and resources.</li><li>Vibrant and inclusive company culture with opportunities for growth and advancement.</li><li>Exciting projects with real-world impact at the forefront of data-driven innovation.</li></ul> Join Us: Ready to lead the charge in data architecture? Apply now to join our team and be part of the data revolution!</div></div>

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