Senior Consultant - Data Governance

enGen Global; Hyderabad, Chennai; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

enGen Global seeks an experienced Data Governance SME to lead enterprise data modernization initiatives in 2026. You will drive data governance, cataloging, quality, and observability across complex data ecosystems.

You will work with platforms like Atlan/Alation, data catalogs, and cloud services (GCP/AWS/Azure) to ensure trusted data for AI/ML projects. Strong communication and domain knowledge in data governance are essential.

Qualifications

• Experience in data governance, data policies, standards and processes across cloud platforms.
• Hands-on with data catalog platforms (Atlan preferred) and data quality tooling.
• Strong understanding of metadata management, data lineage and observability.
• Experience enabling trusted data for AI/ML use cases.

Responsibilities

• Define and implement data governance policies, standards, and processes across enterprise data estates.
• Hands-on work with data catalogs (Atlan/Alation) and data quality/observability tools (Monte Carlo, Dynatrace).
• Collaborate to enable trusted data for AI agents and analytics across platforms (GCP/AWS/Azure).

Skills

Data governance

Data quality

Metadata management

Data lineage

Observability

Cloud platforms

Atlan

Alation

Spark/Databricks

ETL/ELT

Airflow

Tableau/PowerBI

Tools

Atlan

Alation

AWS Glue

Unity Catalog

Apache Iceberg

Delta Lake

Hudi

GCP

AWS

Azure

Spark

Scala

PySpark/Databricks

Monte Carlo

Dynatrace

Informatica BDM

Airflow

Tableau

PowerBI

Data Hub

Control-M

Job description

We are seeking an experienced Data Goverce SME to be part of our upcoming data 2026 data initiatives. This role requires deep experience in implementing enterprise level modernization programs, strategic initiatives in Data Goverce, Catalog space Data Quality.

Experience and Skillset

• 10-12+ years of experience in data management Data Engineering, Data Integration, Business intelligence, with a strong focus and expertise in data goverce and data cataloging, data observability, Data Quality
• In-depth understanding of data goverce principles frameworks, compliance needs and best practices. Propose and implement improvements to data goverce processes and tools
• Proven experience in defining and implementing data policies, standards, and processes in modern cloud platforms and BI applications, with good understanding of concepts policy authoring, authentication and authorization
• Demonstrable hands-on experience with modern enterprise data catalog platforms, specifically Atlan (preferred) or Alation, AWS Glue, Unity Catalog, Apache Polaris (preferred), Data Hub
• Strong understanding of metadata management concepts, data lineage, and data quality, data observability with real-time implementation experience in tools like Monte Carlo, Dynatrace
• Good understanding with diversified data platforms and technologies
• Data lakes, data warehouses, SQL databases, NoSQL databases
• Open table formats Iceberg (Preferred), Delta, Hudi
• Cloud platforms like GCP (Preferred), AWS, Azure
• Modern data stack tools (Spark, Scala, Pyspark/Databricks etc) and/or traditional ETL tools Informatica BDM with deep understanding of ELT, ETL Concepts
• Data orchestration tools (Airflow, Control-M etc) BI Applications Tableau/PowerBI
• Experience (or) Exposure in enabling trusted data for downstream for AI Agentic AI applications and Machine Learning Models delivering actionable insights impacting efficiency.
• Understanding of Master data management
• Excellent analytical, problem-solving, and communication skills (written and verbal).
• Demonstrate domain competency, Healthcare (preferred) with ability to translate complex concepts into clear, concise business language.
• HC Compliance/Standards -
• Strong interpersonal skills with the ability to influence and collaborate effectively across all levels of the organization.