Senior Staff Engineer - Data Engineering

Altimetrik · IT Consulting & Digital Transformation · IT Outsourcing & Dedicated Teams · SQL · 5 hours ago

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Location

In office (Bengaluru)

Seniority

Staff · 12+ years exp

Visa

Sponsors visas in United States; no register of this country names it

Confirmed on the employer's own hiring board on Nov 10, 2026. First seen by Alion on Sep 21, 2026. Altimetrik scores D on the Alion truth index.

Overview

Company

Impact

Profile match

Altimetrik

Altimetrik is a digital and AI engineering services company headquartered in Southfield, Michigan, that builds software, data, cloud and AI systems for large enterprises in banking, insurance, automotive, healthcare, retail and technology. Founded in 2012 by Raj Vattikuti, the founder of Covansys, it employs between 5,000 and 10,000 people, with major delivery centers in Chennai, Bengaluru, Pune and Hyderabad and further offices in Krakow, Mexico City, Montevideo, Singapore, Canada and the US. It hires data, AI and generative AI engineers, Java, .NET and full stack developers, DevSecOps, cybersecurity and Salesforce engineers, architects and engineering managers.

altimetrik.com · HQ: Southfield, United States · AI Consulting & Integration · IT Outsourcing & Dedicated Teams · Custom Software Development · IT Consulting & Digital Transformation · 51-200 employees · Est. 2012

Tech stack of Altimetrik

Experience: 12+ years

Location: Bengaluru, India | Employment Type: Full-time

About the Role

Customer's data governance baseline is zero - no deletion or retention policies were historically enforced, data volumes have accumulated across four production SQL Server environments, and no governance tooling is in place. The Data Governance Lead will build csutomer's governance programme from the ground up. This is a critical, high-visibility role confirmed as a strategic priority, Data and AI Lead.

Data Environment

Required Skills & Experience

12+ years in data governance, data management, or information management
Proven experience building governance programmes from zero maturity in regulated financial services
Specific expertise: data retention, deletion policy design, and data lifecycle management - essential, not optional
Deep knowledge of DAMA-DMBOK, DCAM, or equivalent frameworks
Strong PCI DSS, GDPR, and FCA regulatory data requirements expertise
Experience governing legacy SQL Server estates with accumulated data and absent lifecycle controls
Familiarity with Redshift, DBT, DynamoDB in a governance context
Excellent stakeholder management - able to influence engineering, compliance, and business leadership
Strong written communication for policy, standards, and governance documentation

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