Sr. Data Engineer and Architect Hybrid

Description

Experience work closely with client enterprise architect. Act as a mentor to technical offshore data analytics team.

Data Architecture experience:

• Experience architecting solutions in Cloud Data Engineering platform (eg: GCP, AWS, Azure)
• Design end to end data architectures on GCP leveraging Big Query, Data flow, Data proc, Pub/Sub, Cloud Composer, Cloud Storage, and Looker.
• Develop modern data lake, data warehouse, and lake house architectures using best practices and well architected frameworks in GCP and prefer to have experience in AWS, Azure & Data bricks
• Create logical and physical data models, data flow diagrams, integration patterns, and reference architectures.
• Architect scalable ETL/ELT pipelines using Data flow (Apache Beam), Data proc (Spark), and/or Cloud Composer orchestrations.
• Lead cloud-native modernization initiatives: migration from legacy platforms to GCP.

Data Engineering & Development Oversight

• Provide expert guidance to data engineering teams on standards, patterns, and reusable frameworks.
• Optimize Big Query performance including partitioning, clustering, materialized views, BI Engine, and storage optimizations.
• Implement data quality, metadata management, observability, and lineage frameworks using tools like Data plex and Data Catalog.
• Ensure CI/CD adoption using Cloud Build, GitHub/Git Lab pipelines, and infrastructure-as-code (Terraform).

Data Governance & Security

• Help define data governance standards including access models, encryption, retention, and data lifecycle management.
• Implement IAM policies, VPC Service Controls, organizational policy constraints, and secure data sharing patterns.
• Ensure compliance with GDPR, HIPAA, PCI, and internal corporate policies.

Additional Responsibilities:

• Process Flows
• Mentor and Knowledge transfer to client project team members
• Participate as primary, co and/or contributing author on any and all project deliverables associated with their assigned areas of responsibility
• Participate in data conversion and data maintenance
• Provide best practice and industry specific solutions
• Advise on and provide alternative (out of the box) solutions
• Provide thought leadership as well as hands on technical configuration/development as needed.
• Participate as a team member of the functional team
• Perform other duties as assigned.

To discuss this amazing opportunity, reach out to our Talent Acquisition Specialist Sampada Rokde at email address Sampada.Rokde@generistek.com can be reached on # 630-576-1038.