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AWS Data Architect
2 months ago
Sogeti is a leading provider of professional technology services, specializing in Application Management, Infrastructure Management, and High-Tech Engineering. Our company offers cutting-edge solutions around Testing, Business Intelligence, Mobility, Cloud, and Security, combining world-class methodologies and the global delivery model, Rightshore.
We bring together more than 20,000 professionals in 15 countries and are present in over 100 locations in Europe, the US, and India. Sogeti is a wholly-owned subsidiary of Cap Gemini S.A., listed on the Paris Stock Exchange.
Our MissionWe are committed to building a long and enduring relationship with our employees and to creating an environment that rewards and empowers. Our mission is to constantly exceed our employees' expectations in the same way that we strive to exceed our clients' expectations.
We offer an environment that celebrates innovation and helps you to achieve a good balance between your professional and personal life. We strive to be an employer of choice.
Job SummaryWe are seeking an experienced AWS Data Architect to join our team. The ideal candidate will have a strong background in designing and developing end-to-end data pipelines on AWS, as well as extensive knowledge of data modeling, master data management, enterprise data warehousing, ETL, reporting, querying, requirements analysis, and data integration techniques.
Key Responsibilities- Design and develop end-to-end data pipelines on AWS
- Develop and deliver data architecture solutions and strategies
- Contribute to and manage development policies, planning, and executing with perseverance, drive, and keen attention to detail
- Provide hands-on technical and execution leadership for engineering teams
- Propose and review architecture deliverables throughout the development process to ensure quality, security, and traceability aligned with enterprise data strategy
- Bachelor's degree in Computer Science, Computer Engineering, MIS, or related field
- Minimum 10 years in information technology and/or higher education
- Extensive knowledge of and experience in database development, data architecture solutions, and strategies
- Experience with designing and developing end-to-end data pipelines on AWS
- Experience with data modeling, master data management, enterprise data warehousing, ETL, reporting, querying, requirements analysis, and data integration techniques
- Proven ability to understand and work with large, complex IT systems
- Experience contributing to and managing development policies, planning, and executing with perseverance, drive, and keen attention to detail
- Extensive knowledge of network architecture
- Excellent written and oral communication skills, presenting technical topics in a technically-oriented detailed fashion to technical audiences
- 8 years in information technology, big data, data science, analytics platforms, and/or higher education
- Experience working on projects solutioning large-scale data architecture for real-time data processing, batch processing, application enablement, business intelligence, operationalizing, and modernizing data warehouses, data lakes, analytics platforms, and introducing new capabilities and services
- 5+ years of experience with data & analytics, cloud computing, cloud data, and data-management solutions (e.g., Amazon Web Services, Microsoft Azure, Informatica) and system engineering
- 5+ years of experience designing and developing complex integration data flow architectures
- 5+ years of experience with one or more database technologies (Oracle, MSSQL, MySQL, PostgreSQL, Hadoop, AWS Redshift, Snowflake)
- Experience with AWS services such as Athena, Glue, DataBrew, Lambda, S3, DynamoDB NoSQL, Relational Database Service (RDS), Amazon EMR, and Amazon Redshift, SageMaker, QuickSight, Kinesis, OpenSearch, Deep Learning AMIs, Lake Formation
- Extensive hands-on experience with SQL/Store Procedures
- Experience with Master Data Management and Data Quality processes and tools
- Experience with Data Governance and Data Cataloging planning and implementation
- Hands-on experience developing software code in one or more programming languages (Java, Python, etc)
- Proven experience configuring and tuning data warehouse, ETL, reporting, analytics applications, and underlying software
- Strong knowledge of networking and security concepts and frameworks
- Experience in DevOps (CI/CD) pipeline facilitating automated deployment and testing
- Experience with agile development methodologies
- Exemplary communication and interpersonal skills, with the ability to present the business side of technical topics to non-technical audiences, and persuasively and effectively interact with various stakeholders and diverse individuals and groups
- 401(k) Savings Plan - Matched 150% up to 6%
- Medical/Prescription/Dental/Vision Coverage
- Low-premium and deductible plan with free preventive care
- $12,000 in Tuition Reimbursement
- 100% Company-paid mobile phone plan
- Personal Time Off (PTO) - Ensuring a balance of work and home life