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Key skills for this role
• Define and own end‑to‑end data architecture on AWS, including data ingestion, storage, processing, analytics, and consumption layers.
• Design enterprise‑grade data platforms using AWS services such as S3, Glue, Redshift, Athena, Lake Formation, EMR, Kinesis, DynamoDB, and RDS.
• Establish data lake, data warehouse, and lakehouse architectures aligned with business and analytical needs.
• Develop architectural standards, patterns, and reference architectures for data engineering teams.
• Collaborate with business stakeholders, product owners, and domain teams to translate requirements into scalable data solutions.
• Ensure data governance, security, privacy, and compliance (IAM, encryption, data access control, auditing).
• Guide teams on data modeling approaches (dimensional, normalized, event‑driven, domain‑oriented models).
• Review and approve solution designs, ensuring alignment with enterprise architecture principles.
• Optimize performance, scalability, and cost using AWS best practices.
• Lead architecture reviews, technical decision‑making, and mentoring of data engineers.
• Partner with DevOps, Cloud, and Platform teams on CI/CD, IaC (Terraform/CloudFormation), and observability.
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Global leader in IT services, consulting, and business solutions.
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Senior · 8+ years experience
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