Lead Data Engineer

Exadel Inc (Website)•Bulgaria, Georgia, Poland , Romania, GA

3d•Hybrid

About The Position

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving.

Requirements

Strong hands-on data engineering or backend engineering background
Experience with ETL/ELT, data pipelines, APIs, cloud data services, and enterprise integrations
Working knowledge of Azure, Databricks, Microsoft Fabric, AWS, or comparable platforms
Ability to assess data readiness and implementation feasibility
Experience supporting architecture and discovery phases
Ability to communicate technical risks clearly to non-technical stakeholders
English level Upper-Intermediate

Nice To Haves

ERP, CRM, MES, finance, reporting, or operational systems integration
Experience with data quality, master data, data ingestion, and platform modernization
Exposure to AI/ML or GenAI implementation prerequisites

Responsibilities

Review available data sources, access patterns, interfaces, and integration options
Assess data availability, quality, completeness, and readiness for prioritized use cases
Identify ingestion, ETL/ELT, API, and system integration requirements
Validate whether proposed AI, automation, and reporting use cases are technically feasible
Identify implementation risks, blockers, dependencies, and assumptions
Support platform recommendation with implementation-level input
Provide rough sizing for Phase 2 build activities
Help distinguish what can be piloted quickly versus what requires deeper platform work
Support technical documentation for final recommendations