Data Governance Engineer, Hewlett Packard Enterprise

Hewlett Packard Enterprise

Location:
India, Bangalore

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

The role focuses on deploying and managing enterprise-scale Data Governance practices and supporting the database layer for AI initiatives. Responsibilities include designing Data Dictionary, Lineage, ensuring security and access control, enabling Data Discovery, and building trust in the data through quality metrics. The ideal candidate should have 7+ years of experience in Data Engineering and Governance with tools like Collibra, Databricks Unity Catalog. Strong technical and collaboration skills are essential.

Job Responsibility:

Drive the design and development of Data Dictionary, Lineage, Data Quality, Security & Access Control for Business-relevant data subjects & reports across business domains
Engage with the business users community to enable ease of Data Discovery and build trust in the data through Data Quality & Reliability monitoring with key metrics & SLAs defined
Supports the development and sustaining of Data subjects in the Database layer to enable BI dashboards and AI solutions
Drives the engagement and alignment with the HPE IT/CDO team on Governance initiatives, including partnering with functional teams across the business
Test, validate and assure the quality of complex AI-powered product features
Partner with a highly motivated and talented set of colleagues
Be a motivated, self-starter who can operate with minimal handholding
Collaborate across teams and time zones, demonstrating flexibility and accountability.

Requirements:

7+ years of Data Governance and Data Engineering experience, with significant exposure to enabling Data availability, data discovery, quality & reliability, with appropriate security & access controls in enterprise-scale ecosystem
First level university degree
Experience working with Data governance & metadata management tools (Collibra, Databricks Unity Catalog, Atlan, etc.)
Subject matter expertise of consent management concepts and tools
Demonstrated knowledge of research methodology and the ability to manage complex data requests
Excellent analytical thinking, technical analysis, and data manipulation skills
Proven track record of development of SQL SSIS packages with ETL flow
Experience with AI application deployment governance a plus
Technologies such as MS SQL Server, Databricks, Hadoop, SAP S4/HANA
Experience with SQL databases and building SSIS packages
knowledge of NoSQL and event streaming (e.g., Kafka) is a bonus
Exceptional interpersonal skills and written communication skills
Experience and comfort solving problems in an ambiguous environment where there is constant change
Ability to think logically, communicate clearly, and be well organized
Strong knowledge of Computer Science fundamentals
Experience working with LLMs and generative AI frameworks (e.g., OpenAI, Hugging Face, etc.)
Proficiency in MS Power Platform, Java, Scala, Python experience preferred
Strong collaboration and communication skills
Performing deep-dive investigations, including applying advanced techniques, to solve some of the most critical and complex business problems in support of business transformation to enable Product, Support, and Software as a Service offerings
Strong business acumen and technical knowledge within area of responsibility
Strong project management skills.

Nice to have:

Experience with AI application deployment governance
Knowledge of NoSQL and event streaming (e.g., Kafka)
Experience working with LLMs and generative AI frameworks (e.g., OpenAI, Hugging Face, etc.)
Proficiency in MS Power Platform, Java, Scala, Python experience preferred.

What we offer:

Comprehensive suite of benefits supporting physical, financial and emotional wellbeing
Specific programs to help achieve career goals
Comprehensive inclusion and flexibility to manage work and personal needs.

Additional Information:

Job Posted:
August 02, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Data Governance Engineer