Accenture Flex offers you the flexibility of local fixed-duration project-based work powered by Accenture, a leading global professional services company. Accenture is consistently recognized on FORTUNE's 100 Best Companies to Work For and Diversity Inc's Top 50 Companies For Diversity lists. As an Accenture Flex employee, you will apply your skills and experience to help drive business transformation for leading organizations and communities. In addition to delivering innovative solutions for Accenture's clients, you will work with a highly skilled, diverse network of people across Accenture businesses who are using the latest emerging technologies to address today's biggest business challenges. You will receive competitive rewards and access to benefits programs and world-class learning resources. Accenture Flex employees work in their local metro area onsite at the project, significantly reducing and/or eliminating the demands to travel. Kemper is seeking a Data Architect to join our team. You will work as part of a distributed team and with Infrastructure, Enterprise Data Services and Application Development teams to coordinate the creation, enrichment, and movement of data throughout the enterprise. Your central responsibility as an architect will be improving the consistency, timeliness, quality, security, and delivery of data as part of Kemper's Data Governance framework. In addition, the Architect must streamline data flows and optimize cost management in a hybrid cloud environment. Your duties may include assessing architectural models and supervising data migrations across IaaS, PaaS, SaaS and on premises systems, as well as data platform selection and, on-boarding of data management solutions that meet the technical and operational needs of the company.To succeed in this role, you should know how to examine new and legacy requirements and define cost effective patterns to be implemented by other teams. You must then be able to represent required patterns during implementation projects. The ideal candidate will have proven experience in cloud (Snowflake, AWS and Azure) architectural analysis and management. Key Responsibilities: Define architectural standards and guidelines for data products and processes. Assess and document when and how to use existing and newly architected producers and consumers, the technologies to be used for various purposes, and models of selected entities and processes. The guidelines should encourage reuse of existing data products, as well as address issues of security, timeliness, and quality. Work with Information & Insights, Data Governance, Business Data Stewards, and Implementation teams to define standard and ad-hoc data products and data product sets. Work with Enterprise Architecture, Security, and Implementation teams to define the transformation of data products throughout hybrid cloud environments assuring that both functional and non-functional requirements are addressed. This includes the ownership, frequency of movement, the source and destination of each step, how the data is transformed as it moves, and any aggregation or calculations. Working with Data Governance and project teams to model and map data sources, including descriptions of the business meaning of the data, its uses, its quality, the applications that maintain it and the technologies in which it is stored. Documentation of a data source must describe the semantics of the data so that the occasional subtle differences in meaning are understood. Defining integrative views of data to draw together data from across the enterprise. Some views will use data stores of extracted data and others will bring together data in near real time. Solutions must consider data currency, availability, response times and data volumes, etc. Working with modeling and storage teams to define Conceptual, Logical and Physical data views limiting technical debt as data flows through transformations. Investigating and leading participation in POCs of emerging technologies and practices. Leveraging and evolving existing [core] data products and patterns. Communicate and lead understanding of data architectural services across the enterprise. Ensure a focus on data quality by working effectively with data and system stewards. Basic Qualifications: Minimum 8 years of technology experience Minimum 3 years of experience as a Cloud Data Architect Demonstrable knowledge of Secure DevOps and SDLC processes. AWS or Azure experience. Experience with Data Vault 2 Familiarity of system concepts and tools within an enterprise architecture framework. Including Cataloging, MDM, RDM, Data Lakes, Storage Patterns, etc. Bachelor's Degree Preferred Qualifications: Experience with Snowflake Excellent organizational and analytical abilities. Outstanding problem solver. Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Maryland, New York or Washington as set forth below. We accept applications on an on-going basis and there is no fixed deadline to apply. Information on benefits is here. (https://www.accenture.com/us-en/careers/local/total-rewards) Role Location Hourly Salary Range California $77.02 - $87.02 Colorado $77.02 - $87.02 District of Columbia $77.02 - $87.02 New York $77.02 - $87.02 Maryland $77.02 - $87.02 Washington $77.02 - $87.02 What We Believe We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment. Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here (https://www.accenture.com/us-en/about/inclusion-diversity/us-workforce) Equal Employment Opportunity Statement Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Accenture is committed to providing veteran employment opportunities to our service men and women. For details, view a copy of the Accenture Equal Employment Opportunity and Affirmative Action Policy Statement (https://www.accenture.com/content/dam/accenture/final/accenture-com/document/Annual-Policy-Statement-Regarding-EEO-2023-Applicant.pdfzoom50) . Requesting An Accommodation Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email (https://www.accenture.com/us-en/about/contact-us) or speak with your recruiter. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

Description: Future Manufacturing Enterprise Team: The Future Manufacturing Enterprise Team is focused on strategic area of CASE Automotive Business (Connected Autonomous Shared & Electric Automotive Business). Autonomous Vehicle Development technologies is the target for this job requirement within the CASE Automotive Business group. Job Description: The big data architect will support the development of autonomous driving software solutions by playing the role of subject matter expert for the big data systems, underlying data and data products. The aspirant must possess first hand big data establishment experience and be willing to operate in flat organization structure and across functional teams to leverage the best of capabilities available. This role will join a team developing the next generation of autonomous driving solutions drawing on state of the art technologies including big data analytics, cloud, agile and automation, for solving business problems in the automotive and next-gen mobility industry. Responsibilities: Architect and design big data storage and analytic solutions on Hadoop-based platform, create custom analytic and data mining algorithms to improve performance. Responsible for architecture vision and design of next generation data infrastructure required for autonomous driving technologies and future programs. Establish standards and guidelines for the design & development, tuning, deployment and maintenance of information, advanced data analytics, ML/DL, data access frameworks and physical data persistence technologies. Define new data infrastructure platform to capture vehicle data. Research and develop new data management solutions, approaches and techniques for data privacy and data security, and advanced Data Analytics systems. Undertake solution response preparation, solution estimation and client presentations for client based opportunities. Prepare white papers and participate in technology forums through blogs and speaker sessions. Measurement Metrics for the role include successful deliverables of Assets & Solutions and successful Client Engagements Experience: Background in Information Technology in the Automotive industry. Experience solving problems with big data, understanding data quality and data management. Research experience in the areas of advanced data techniques, including data ingestion, data processing, data integration, data access, data visualization, text mining, data discovery, statistical methods, database design and implementation. Qualifications: 5 years of automotive industry experience working at OEM / Tier 1 10 years as a big data architect in a large IT organization. Strong experience with Hadoop, (HDFS), Spark, Kafka NoSQL, Cassandra, HBase, S3 protocol, ObjectStore and with processing large data stores. Strong capability in researching, evaluating and implementing new and improved data solutions for multi-national enterprises. Experience with the design and development of multiple object-oriented systems. Strong track record to drive rapid prototyping and design for Big Data. TOGAF Enterprise Architecture or equivalent. Expertise with Cloud vendors like Azure or AWS. Data storage petabyte scale architectures. Knowledge of data privacy and security w.r.t country specific laws BS or MS in computer science, engineering, or a related field

Description: Future Manufacturing Enterprise Team: The Future Manufacturing Enterprise Team is focused on strategic area of CASE Automotive Business (Connected Autonomous Shared & Electric Automotive Business). Autonomous Vehicle Development technologies is the target for this job requirement within the CASE Automotive Business group. Job Description: The big data architect will support the development of autonomous driving software solutions by playing the role of subject matter expert for the big data systems, underlying data and data products. The aspirant must possess first hand big data establishment experience and be willing to operate in flat organization structure and across functional teams to leverage the best of capabilities available. This role will join a team developing the next generation of autonomous driving solutions drawing on state of the art technologies including big data analytics, cloud, agile and automation, for solving business problems in the automotive and next-gen mobility industry. Responsibilities: Architect and design big data storage and analytic solutions on Hadoop-based platform, create custom analytic and data mining algorithms to improve performance. Responsible for architecture vision and design of next generation data infrastructure required for autonomous driving technologies and future programs. Establish standards and guidelines for the design & development, tuning, deployment and maintenance of information, advanced data analytics, ML/DL, data access frameworks and physical data persistence technologies. Define new data infrastructure platform to capture vehicle data. Research and develop new data management solutions, approaches and techniques for data privacy and data security, and advanced Data Analytics systems. Undertake solution response preparation, solution estimation and client presentations for client based opportunities. Prepare white papers and participate in technology forums through blogs and speaker sessions. Measurement Metrics for the role include successful deliverables of Assets & Solutions and successful Client Engagements Experience: Background in Information Technology in the Automotive industry. Experience solving problems with big data, understanding data quality and data management. Research experience in the areas of advanced data techniques, including data ingestion, data processing, data integration, data access, data visualization, text mining, data discovery, statistical methods, database design and implementation. Qualifications: 5 years of automotive industry experience working at OEM / Tier 1 10 years as a big data architect in a large IT organization. Strong experience with Hadoop, (HDFS), Spark, Kafka NoSQL, Cassandra, HBase, S3 protocol, ObjectStore and with processing large data stores. Strong capability in researching, evaluating and implementing new and improved data solutions for multi-national enterprises. Experience with the design and development of multiple object-oriented systems. Strong track record to drive rapid prototyping and design for Big Data. TOGAF Enterprise Architecture or equivalent. Expertise with Cloud vendors like Azure or AWS. Data storage petabyte scale architectures. Knowledge of data privacy and security w.r.t country specific laws BS or MS in computer science, engineering, or a related field

Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.). Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500 and we are among the top performing and fastest growing companies in the world. Practice - AIA - Artificial Intelligence and Analytics About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future - a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies. By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant's AIA practice takes insights that are buried in data and provides businesses a clear way to transform how they source, interpret, and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence. Job Summary The candidate will be part of Information / Data Architecture Practice supporting major initiatives in Marketing Sales and Service plus Portfolio. The position requires a strong architect with comprehensive knowledge of data architecture, hands on experience in data model design, data quality analysis and good understanding of data analytics architecture. As Information / Data Architects, the candidate will work with enterprise architects, solution architects, business, and product teams to create strategy, design data models, information flows, perform data quality analysis, set standards, best practices, and guide product teams in implementation of the design. Skills Required: Lead design discussions, create conceptual data models, logical data models and data dictionaries. Manage and maintain data models Define reporting strategy and identify sources for reporting data. Perform data quality analysis, identify issues, and propose solution to resolve them. Guide product teams to create physical data model design and data dictionary. Review design adherence and ensure standards, guidelines & best practices are followed. Consult and guide product team through design and implementation. Create information architecture roadmap with now, near and far view. Facilitate discussions to understand source of data, establish system of record, and create current & future state data flows. Create information architecture roadmap with now, near and far view. Skills Preferred: - Good Collaborative and Communication Skills - Data modeling in a enterprise tool such as Power Designer or ERWIN Capable to work well individually and as a team member Experience Required: 7 years Data Modeling experience with expertise in Relational and/or Dimensional Analysis 5 years in experience in Data Warehouse database design Have a deep understanding of data modeling principles and architecture concepts. Extensive experience designing databases supporting complex business process. Experience in supporting database technologies - Oracle, DB2, Teradata, Hadoop, MS SQL Server, PostgreSQL, GCP Big Query Knowledge of Data Analytics, Google Cloud Technologies Salary and Other Compensation: The annual salary for this position is between $110,000 - $ 135,000 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans. Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: Medical/Dental/Vision/Life Insurance Paid holidays plus Paid Time Off 401(k) plan and contributions Long-term/Short-term Disability Paid Parental Leave Employee Stock Purchase Plan Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. Cognizant is an Equal Opportunity Employer M/F/D/V. Cognizant is committed to ensuring that all current and prospective associates are afforded equal opportunities and treatment and a work environment free of harassment. Cognizant is recognized as a Military Friendly Employer and is a coalition member of the Veteran Jobs Mission. Our Cognizant Veterans Network Assists Veterans in building and growing a career at Cognizant that allows them to leverage the leadership, loyalty, integrity, and commitment to excellence instilled in them through participation in military service. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Data Architect Jobs in Dearborn, MI

Data Architect
November 10, 2024

Cloud Data Architect
November 6, 2024

Big Data Architect Autonomous Driving
November 4, 2024

Cloud Data Architect
November 1, 2024

Big Data Architect Autonomous Driving
October 30, 2024

Big Data Architect Autonomous Driving
October 29, 2024

Gcp Data Architect Modeler Onsite
October 26, 2024

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Data Architect Jobs in Dearborn, MI

Data ArchitectNovember 10, 2024

Cloud Data ArchitectNovember 6, 2024

Big Data Architect Autonomous DrivingNovember 4, 2024

Cloud Data ArchitectNovember 1, 2024

Big Data Architect Autonomous DrivingOctober 30, 2024

Big Data Architect Autonomous DrivingOctober 29, 2024

Gcp Data Architect Modeler OnsiteOctober 26, 2024