Lead Cloud Data Engineer (Data Mesh & AI)

Stefanini
Los Angeles, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Los Angeles, United States of America

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Application Frameworks
Big Data
Code Generation
Databases
Information Engineering
Data Governance
Data Infrastructure
ETL
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 Lake
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.

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