We are seeking an experienced Lead Data Engineer to join our team and drive the development of modern data platforms and AI-augmented solutions. This role is critical to supporting ongoing operations of Large Data Warehouse, architecting the Large Data Hub, and preparing for the enterprise data mesh modernization program.
Responsibilities:Data Engineering & Pipeline Development:- Develop and maintain end-to-end ETL/ELT pipelines for data ingestion from multiple sources (databases, APIs, streaming), transformation, quality validation, data modeling, and consumption layer optimization using AWS services (Glue, EMR, Lambda, Kinesis, Step Functions)
- Implement data governance policies, metadata management, data lineage tracking, fine-grained access controls, and automated data quality frameworks with validation rules, anomaly detection, and monitoring/alerting mechanisms
Data Mesh Architecture:- Design and implement Data Mesh architecture on AWS with federated governance, defining domain boundaries, data product specifications, and self-serve infrastructure patterns across Databricks, Starburst, Collibra, and Immuta platforms
- Develop reusable frameworks, accelerators, and self-serve tools enabling domain teams to independently publish, discover, and consume data products while ensuring performance optimization and cost efficiency
DevSecOps & Infrastructure:- Integrate DevSecOps practices including CI/CD pipelines, infrastructure as code (Terraform/CloudFormation), automated security scanning, compliance validation, and disaster recovery strategies
AI-Augmented Development:- Design and build agentic AI solutions, RAG pipelines, and intelligent automation using LLMs, orchestration frameworks, and AI-powered development tools (Copilot, Claude Code) to enhance platform capabilities and accelerate SDLC
Technical Leadership & Collaboration:- Provide L3 technical support and mentor engineering teams on data mesh principles and modern data technologies
- Collaborate with stakeholders to translate business requirements into technical solutions
- Lead architecture design reviews and create comprehensive technical documentation
#LI-PG1#LI-ONSITEJob Requirements
Details:
Qualifications:Data Mesh Architecture & AWS (5+ years required):
- Deep experience designing distributed data architectures on AWS (S3, Glue, Lake Formation, EMR, Redshift)
- Hands-on implementation of data mesh principles including domain-oriented data ownership, data as a product, and federated computational governance
Modern Data Platform Technologies:
- Proficiency: Databricks (Unity Catalog, Delta Lake), Starburst/Trino (federated query), Collibra (data governance), or Immuta (dynamic data access control)
- Ability to architect multi-technology solutions
DevSecOps & Infrastructure as Code:
- Strong experience with CI/CD pipelines (GitLab/GitHub Actions, Jenkins)
- Containerization expertise (Docker/ECS)
- Infrastructure automation (Terraform, CloudFormation)
- Security compliance frameworks for AWS GovCloud environments
AI-Augmented Development & Engineering:
- Demonstrated use of generative AI tools for accelerating SDLC activities including code generation, testing, and documentation
- Experience designing or implementing agentic AI solutions using Amazon Bedrock or similar frameworks
Leadership & Soft Skills
- Proven ability to translate business requirements into technical solutions
- Experience leading technical design sessions and mentoring engineering teams
- Strong communication skills to convey complex architectural concepts to both technical and non-technical stakeholders
- Experience working across hybrid cloud/on-premises environments
Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other incentives.
Pay Range:
$ 95.00 - $ 100.00
