Job Summary

Enterprise Data Architect Job Description

Location: Bangalore

Experience: 15+ years in Data Engineering Data Platforms

Employment Type: Full-time

Key Responsibilities

- Lead the enterprise data architecture strategy, focusing on scalability, modernization, interoperability, and business alignment.
- Architect and operationalize Databricks Lakehouse solutions on AWS, including ingestion, transformation, orchestration, governance, and consumption layers.
- Design and implement Medallion architecture (BronzeSilverGold) with 100+ source integrations using Boomi Integrator and Databricks pipelines.
- Drive enterprise Master Data Management (MDM) using Reltio, including entity modeling, data quality, match-merge rules, survivorship, workflows, and golden record stewardship.
- Establish frameworks for metadata management, data quality, lineage, cataloging, and governance, leveraging Unity Catalog and AWS-native security.
- Enable AI and analytics teams by building AI-ready datasets, feature stores, and GenAI-supporting data pipelines.
- Provide leadership, mentorship, and architectural oversight for data engineering, governance, and platform teams.
- Implement enterprise standards for data security, IAM, compliance (GDPR/HIPAA), observability, and cloud cost optimization.
- Collaborate with global business stakeholders across the US, India, and Ireland to drive data modernization, cloud migration, and aligned domain strategies.

Requirements

Required Skills and Experience





- 15+ years of hands-on experience in data engineering, data platforms, data integration, data governance, and data operations.
- Strong hands-on experience with Reltio MDM, including configuration, hierarchy management, entity modeling, match/merge, and golden record creation.
- 5+ years of solid expertise in Databricks Lakehouse (Delta Lake, PySpark, Unity Catalog, MLflow, and Databricks AI).
- Proven expertise in AWS data ecosystem: S3, Glue, EMR, Lambda, Athena, Redshift, Lake Formation, IAM.
- Solid experience in implementing Medallion architecture across 100+ data sources using Boomi Integrator; Databricks pipelines (batch and streaming).
- Advanced proficiency in SQL, Python, PySpark, and API-driven integrations.
- Deep understanding of data governance, metadata, lineage, observability, and MDM frameworks.
- Experience with modern data stack tools (Snowflake, dbt, Airflow, Kafka) is an advantage.
- Excellent communication skills, both verbal and written, with the ability to collaborate effectively with teams across the US, India, and Ireland.
- AWS or Databricks certifications preferred.

Education

Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or a related field.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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