Job Requirements
Role - Architect
Number of RRIDs required - 1
JD -
Key Responsibilities
Enterprise Data Modeling & Blueprinting: Design and maintain target-state data architectures, end-to-end data flows, roadmaps, and conceptual/logical/physical models (OLTP & OLAP/Star Schema).
Governance & Standards Enforcement: Establish and enforce corporate naming conventions, metadata management guidelines, data dictionaries, and enterprise design patterns.
Stakeholder & Agile Alignment: Partner with solution architects, engineers, and data scientists to translate complex requirements into optimized database designs without creating sprint bottlenecks.
Modernization & Migration: Lead legacy-to-cloud data migrations, source-to-target mappings, and master data management (MDM) integration across platforms.
Required Qualifications & Skills
Data Architecture & Strategy: 8+ years designing scalable enterprise data architectures and target-state strategy.
Data Modeling & Tools: 6+ years in OLTP and OLAP modeling using industry tools like Erwin Data Modeler, ER/Studio, or Hackolade.
Cloud Data Platforms: 4+ years architecting structures on modern platforms (Snowflake, BigQuery, Databricks, or Redshift).
Mandatory AI Capabilities: Enterprise-mandated proficiency (90%+ weekly active usage) in approved GenAI tools (GitHub Copilot, M365 Copilot) for documentation, schema design, and productivity workflows.
Preferred Qualifications
NoSQL & Graph: 2+ years with MongoDB, Cassandra, or Neo4j schemas.
Governance, Privacy & Integration: Experience with Collibra, Alation, GDPR/CCPA compliance, modern ETL/ELT patterns, and API connectivity.
Advanced Domain Experience: Background in enterprise MDM, large-scale legacy-to-cloud migrations, and structuring feature stores/data platforms for ML and data science workloads.
Work Experience
7-10Years
