Data Architect - INTL India

Essential Duties And Responsibilities Architecture & Strategy
Define and continuously evolve the data architecture across the Digital Products and Platforms
Translate business and technical goals into scalable and resilient platform designs.
Own and maintain architectural roadmaps, standards, and decision frameworks.
Act as the bridge between architects, SME/Analysts, data engineers, and analytics teams to ensure alignment and compliance with platform standards.
Data Engineering & Platform Delivery
Design and implement modern ELT/ETL pipelines using tools like Spark, Python, SQL, Scala, and cloud-native components (e.g., Databricks).
Design and implement Data Modelling using Relational DB/NoSQL DB’s.
Proven Hand-on experience in Databricks & Unity Catalog.
Manage data ingestion from heterogeneous sources including ERP, CRM, IoT, and third-party APIs.
Guide hands-on development of robust, reusable, and automated data flows.
Governance, Metadata, and Quality
Implement and enforce data governance frameworks including data lineage, metadata management, and access controls.
Develop data models (ERDs, dimensional and 3NF) and define canonical data representations.
Collaboration & Leadership
Review solution designs and provide architectural guidance to engineering teams.
Mentor technical staff while fostering best practices and continuous improvement.
Collaborate with DevOps to embed CI/CD, version control, and environment automation across the data lifecycle.
Continuously assess and improve platform reliability, scalability, performance, and cost-efficiency.

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12+ years of hands-on experience in data architecture and engineering delivery.
Proven success in building modern data platforms on cloud (Azure, AWS, GCP).
Deep knowledge of data lakehouse architectures (e.g., Databricks, Fabric).
Proficiency with Python, SQL, Spark, and orchestration frameworks.
Experience with ETL/ELT tools (e.g., Informatica, Talend, Fivetran) and containerization (Docker, Kubernetes).
Strong background in Data Modeling (ERD, star/snowflake, canonical models).
Familiarity with REST APIs, GraphQL, and event-driven design.
Demonstrated experience integrating AI/ML and GenAI components into data platforms.
Exposure to DataOps and DevOps practices for CI/CD and platform automation.

• Familiarity with NoSQL databases (e.g., MongoDB).
• Exposure to IoT Data Standards like Project Haystack, Brick Schema, Real Estate Core

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.