Data Architect

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

7h•Hybrid

About The Position

The client is a global e-commerce and marketplace platform operating across North America and multiple international regions. The company manages a complex ecosystem of merchant transactions, payments, promotions, and financial operations, supporting millions of customers and partners worldwide. Over time, the client’s financial data landscape evolved into regionally fragmented platforms, with separate data models, pipelines, and reporting logic for different geographies. This created challenges in data consistency, reconciliation, auditability, and operational efficiency, particularly for critical processes such as revenue recognition, tax compliance (e.g., VAT), and month-end close. The client is looking for a Data Architect who will be responsible for designing and governing a global financial data platform that enables a Single Source of Truth (SSOT) on BigQuery, standardizing data models, pipelines, and governance across North America and International regions.

Requirements

Strong experience designing and building cloud data platforms using BigQuery
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
English level Intermediate+

Responsibilities

Define the target-state data architecture for a unified BigQuery-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 BigQuery, ensuring data accuracy, completeness, and performance
Define incremental-load, micro-batch, and reconciliation patterns to support daily financial processing and month-end close requirements
Establish data governance framework (lineage, metadata, RBAC, auditability)
Implement data quality & observability with automated checks and pipeline gating
Define CI/CD and schema evolution (Flyway, Git-based workflows)
Optimize performance and cost (partitioning, clustering, aggregation strategies)
Align architecture with finance, tax, and compliance requirements
Support the Technical Program Manager with effort estimates, sequencing, risk identification, and dependency management during the Discovery and further phases