Exadel Inc
E-commerce
DataArchitect
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Architect at Exadel Inc. Skills: Data architecture, BigQuery, Data modeling, Data governance. Define target-state data architecture. Establish data modeling standards”
What You'll Achieve.
Enable Single Source of Truth; Standardize data models; Standardize pipelines; Standardize governance
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
5+ years of engineering experience, Python experience for data engineering, Intermediate+ English level
Nice to Have
Experience with Teradata, Experience with Hive/HDFS
What You'll Do.
Define target-state data architecture
Establish data modeling standards
Establish architectural principles
Lead design of data migrations
Ensure data completeness
Define incremental-load patterns
Define micro-batch patterns
Define reconciliation patterns
Establish data governance framework
Implement data quality standards
How You'll Work.
Team & Collaboration
Cross-functional teams; Finance teams; Reporting teams
Communication Scope
Technical documentation
Process & Methodology
Agile
Full Job Description
Why Join Exadel 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. About the Client 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. What You’ll Do 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
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