Lead Data Engineer

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.

Our customer is a global digital marketplace operating across North America and international markets. The project aims to unify fragmented North America and International financial data pipelines into a single Global Financial Data Platform, harmonizing reporting and controls across regions. The target solution introduces daily automated data‑quality, completeness, and reconciliation checks, preventing errors from reaching Net Suite and reducing reliance on manual SOX and month‑end close (MEC) processes.

This modernization enables faster close cycles, earlier journal entries, quicker audits, and scalable onboarding of new countries and business units.

• Define the target‑state data architecture for a unified Big Query‑based platform, including ingestion, transformation, storage, and consumption layers
• Establish data modeling standards, transformation patterns, and architectural principles aligned with finance and reporting requirements
• Lead the design and execution of data migrations from Teradata and Hive/HDFS to Big Query, ensuring data accuracy, completeness, and performance
• Define incremental‑load, micro‑batch, and reconciliation patterns to support daily financial processing and month‑end close requirements
• Design and implement automated data‑quality, completeness, and reconciliation checks
• Support the Technical Program Manager with effort estimates, sequencing, risk identification, and dependency management during the Discovery and further phases

• Strong experience designing and building cloud data platforms using Big Query
• Hands‑on expertise migrating from legacy data warehouses (Teradata, Hive/HDFS)
• Advanced SQL; strong Python experience for data engineering workflows
• Orchestration:
  Airflow / Composer
• Reporting:
  Tableau
• Proven ability to define scalable data models, layered architectures, and reusable transformation patterns
• Deep understanding of financial data processing, reconciliation, and reporting patterns

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note:
  
  this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

• International projects
• In‑office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement
  
  Team events & local benefits
• Sports compensation

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.