Aptus Data Labs - Enterprise Data Architect - Python/PySpark

Job Description :

Role : Enterprise Data Architect

Location : Bangalore

Experience : 15+ years in Data Engineering & Data Platforms

Employment Type : Full-time

About Aptus Data Labs :

Aptus Data Labs is a global Data Engineering and AI solutions partner helping enterprises build modern, scalable, and intelligence-driven organizations. With deep expertise across cloud platforms, advanced analytics, AI/ML, and enterprise data transformation, we empower businesses to unlock the full value of their data. Our focus on innovation, domain excellence, and engineering quality enables us to deliver high-impact platforms - ranging from enterprise data lakes to AI-driven automation and industry-specific solutions. Trusted by leading companies across the US, India, Africa, and Europe, Aptus Data Labs is committed to shaping future-ready digital ecosystems that drive growth, efficiency, and strategic advantage.

About the Role :

We are seeking a highly accomplished Enterprise Data Architect with deep expertise in designing modern data platforms, integrating complex enterprise datasets, and driving large-scale digital and AI initiatives. The ideal candidate brings 15+ years of strong experience in data engineering, data platforms, data governance, data integration, and data operations, with 5+ years of hands-on Databricks Lakehouse implementation on AWS and strong Reltio MDM experience.

This role is instrumental in shaping the enterprise data foundation, leading multi-domain integrations, and enabling AI-ready architectures across global teams in the US, India, and Ireland.

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.

Required Skills & 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.

Strong 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 : Bachelors or Masters degree in Computer Science, Information Systems, Data Engineering, or a related field.