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Tier-1 brand and metro location with niche AWS data architect skills create moderate competition.
Requires deep AWS data engineering, architecture, and governance expertise, limiting cross-industry transferability.
Explicit multi-decade experience and mandatory AWS data architecture and leadership requirements enforce stringent filters.
Design and implement scalable, enterprise-grade AWS data architectures and data pipelines including data lakes/lakehouse and ETL/ELT solutions.
Provide hands-on technical leadership and mentorship to data engineering teams, including code reviews, architecture guidance, and enforcing best practices.
Drive data governance, security, cloud migration, CI/CD implementation, and modernization efforts for large-scale data platforms.
15–24 years total IT experience with at least 8 years in data engineering and analytics including enterprise data platform design and implementation.
Minimum 6 years hands-on experience architecting AWS data platforms using services like S3, Glue, Redshift, Athena, EMR, Lambda, Lake Formation, Kinesis, and RDS.
Experience designing and developing ETL/ELT pipelines using AWS Glue and orchestration tools such as Airflow or equivalent.
3+ years leadership experience as Technical Architect or Lead in data engineering, including architecture guidance, mentoring, and code reviews.
Senior-level data architect with deep expertise in AWS-native data services and cloud-native data patterns, capable of translating complex business needs into scalable architectures.
Experienced in both batch and real-time data processing, data governance/security, and driving data platform modernization including cloud migrations.
Strong hands-on background in SQL, Python/PySpark, CI/CD, Infrastructure as Code (Terraform/CloudFormation) and mentoring engineering teams.