Lead Cloud Data Engineer (Data Mesh & AI)

Stefanini
Los Angeles, CA, United States
14 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Amazon S3 Application Frameworks Big Data Code Generation Databases Information Engineering Data Governance Data Infrastructure Extract Transform Load (ETL)
+27 more
Programming Tools Distributed Data Store Github Meta-Data Management Performance Tuning Systems Development Life Cycle Security Software Data Streaming Data Ingestion Large Language Models HybridCloud Gitlab Cloudformation Build Management Containerization Data Lakes Kubernetes Infrastructure Automation Frameworks Data Lineage Collibra Dynamic Data Terraform Data Pipelines Devsecops Docker Jenkins Databricks

Job description

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 platformsDevelop 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 technologiesCollaborate with stakeholders to translate business requirements into technical solutionsLead architecture design reviews and create comprehensive technical documentation

Requirements

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 documentationExperience designing or implementing agentic AI solutions using Amazon Bedrock or similar frameworks

Leadership & Soft SkillsProven ability to translate business requirements into technical solutionsExperience leading technical design sessions and mentoring engineering teamsStrong communication skills to convey complex architectural concepts to both technical and non-technical stakeholdersExperience working across hybrid cloud/on-premises environments

About the company

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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

6:14 min

Structuring CI/CD pipelines with integrated security and quality checks

Christoph Ruggenthaler · LIVE

2:07 min

Inspecting default bridge architectures and custom Docker networks

Oliver Seitz Oliver Seitz · WWC 2025

6:36 min

Funding open source through GitHub Accelerator and Sponsors

Stormy Peters · WWC 2023

1:50 min

The future of data engineering and AI mesh

Sandhya Menon Sandhya Menon · WWC Europe 2026

4:54 min

Implementing geographic salary tiers for compensation equity and fairness

Rudi Bauer Rudi Bauer +1 · Cappuccino with HR

Videos

See all

Related articles

See all