Lead Data Engineer - LA Area-Hybrid

Perform • Milton, GA

42d • Hybrid

About The Position

We are seeking an experienced Data Engineer Lead to support complex application and product development initiatives. This role focuses on designing, building, and leading data migrations, pipelines, and models that power web and mobile software experiences.
You will work closely with product and engineering teams in a fast-paced, collaborative environment. This is a hands-on technical leadership role with responsibility across the full data lifecycle — from design through deployment and ongoing support.

Requirements

• Minimum 7+ years working in a Data Science lead role
• We expect you to have a passion for and experience shipping and maintaining production software products and data migrations.
• You must have strong verbal and written skills.
• We are most interested in candidates who want to work in an environment where attention to detail, solving problems, simplicity, quality, and moving quickly are highly prized.
• Proficiency in Python with a history of delivering production pipelines.
• Experience building production scripts or services used for data movement and validation.
• We’d like to see real SQL and NoSQL production experience.
• We’re particularly interested in your expertise with SQL Server and MongoDB.
• You should be comfortable modeling data, analyzing source and target schemas, writing complex queries, and resolving data quality issues during migration.

Nice To Haves

• Experience with the Azure data stack (Azure Data Factory, Azure Data Lake, Tabular Model / DAX, Microsoft Fabric) is preferred, though strong experience with comparable technologies is also valued.

Responsibilities

• Lead data engineering execution for complex application initiatives
• Design and deliver data migrations between systems, including:
• Data mapping and transformation
• Validation and reconciliation
• Ensuring accuracy and completeness across environments
• Build and maintain production-grade data pipelines, APIs, and data management tools
• Model data and analyze source and target schemas
• Write complex SQL and work with both relational and NoSQL databases
• Resolve data quality issues during migrations
• Support continuous delivery across the lifecycle: design, build, deploy, test, monitor, and support
• Contribute to discussions around data quality, testing strategy, and automation
• Collaborate closely with engineers and stakeholders in an agile environment

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed