Lead Cloud Data Engineer (Data Mesh & AI)

Stefanini, Inc

San Francisco (CA)

On-site

USD 130,872 - 137,760

Full time

14 days+

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Job summary

Stefanini Group is hiring a Lead Cloud Data Engineer (Data Mesh & AI) for San Francisco. The role focuses on building modern data platforms, AI-augmented development, and federated governance across AWS services to support a large data warehouse program.

You will lead data engineering, implement governance, and guide DevSecOps practices while partnering with stakeholders to translate requirements into scalable solutions.

Qualifications

  • 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 and federated governance.

Responsibilities

  • Develop and maintain end-to-end ETL/ELT pipelines on AWS with multiple data sources.
  • Implement data governance, metadata management, and data quality frameworks with validation rules.
  • Design Data Mesh architecture with federated governance across platforms and domains.
  • Integrate DevSecOps practices including IaC, CI/CD, security scanning, and disaster recovery.
  • Lead architecture reviews and mentor engineering teams on data technologies.

Skills

Data Mesh
AWS
Data Pipeline
Leadership
CI/CD

Education

Bachelor's degree in CS/IT

Tools

Databricks
Starburst/Trino
Collibra
Immuta
Docker
Terraform/CloudFormation

Job description

Job Details
Information Technology

Lead Cloud Data Engineer (Data Mesh & AI) San Francisco, CA

Posted: 7/27/2026

Job Description

Job ID#: 64437

Job Category: Information Technology

Position Type: Contract

Duration: Long-Term

Remaining Positions: 1

Stefanini Group is hiring!

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-ONSITE

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.

Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We also speak with you about the process including interviews and job offers.

About Stefanini Group:

The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are CMM Level 5 company.

Pay Range:

$ 95.00 - $ 100.00

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