Lead Data Engineer

VARITE is looking for a qualified Lead Cloud Data Engineer Data Mesh & AI in San Francisco, CA 94105 What does the client do? A central banking system of the United States that manages monetary policy, regulates financial institutions, provides banking services, and acts as a lender of last resort during financial crises. What do we do? Established in the Year 2000, OpenKyber is an award-winning minority business enterprise providing global consulting & staffing services to Fortune 1000 companies and government agencies. With 850+ global consultants, OpenKyber is committed to delivering excellence to its customers by leveraging its global experience and expertise in providing comprehensive scientific, engineering, technical, and non-technical staff augmentation and talent acquisition services.

Job Title: Lead Cloud Data Engineer Data Mesh & AI Duration: 18 Months Location: San Francisco, CA 94105 Mode: Onsite role Pay rate: $90/hr. - $105/hr on W2 Here's What You'll Do **** Job Title is: Lead Cloud Data Engineer Data Mesh & AI***** 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.

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, Client, 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

• 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

Benefits: We offer a comprehensive benefits package designed to support the health, well-being, and financial security of our employees and their families. Eligible employees may receive: Health Insurance: Medical, dental, and vision coverage Retirement Plans: Participation in a company-sponsored retirement savings plan Legal Service Plans Offering access to attorneys for legal advice and representation If this opportunity interests you, please respond by clicking on EasyApply. In case you are not currently available or interested in pursuing this opportunity, please forward this email among your circle who might be suitable and interested in any of our open requirements. OpenKyber has a robust Candidate Referral Fee plan where you will receive a one-time referral fee if the referred candidate successfully works with OpenKyber on an assignment for at least 1 month or 160 Hours. OpenKyber is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

For applications and inquiries, contact:View email address on us.fitly.work