Senior Engineer

Tata Consultancy Services Limited; Minnesota City (MN); On-site; USD 110,000 - 130,000; Full time

Benefits offered by this job

Annual incentive

Medical coverage

Parental leave

Training reimbursement

Vacation & holidays

Job summary

Tata Consultancy Services is seeking a Data Engineer/Architect to extend its RMN Identity Spine. The role focuses on data pipelines, identity linkage, and governance across identity workflows on GCP with BigQuery.

You will collaborate with product, privacy, and engineering teams to deliver activation, measurement, and attribution capabilities. Candidates should have strong SQL and data modeling skills, experience with CDP/MDM/CRM or identity graphs, and the ability to interact with senior

Qualifications

• Senior data engineering talent to extend first-party customer IDs into an identity spine for RMN use cases.
• Experience with customer identity, CDP/MDM/CRM or identity graph use cases.
• Strong GCP experience with BigQuery and advanced SQL.
• Ability to work with senior stakeholders and cross-functional teams.

Responsibilities

• Design and build data pipelines and models connecting first-party IDs with ad ecosystem identifiers.
• Support integrations with partner IDs and platforms such as Google, Meta, LiveRamp, UID2, clean rooms and third-party data providers.
• Build identity linkage layers for audience activation, direct partner matching and measurement.
• Ingest and structure exposure logs for campaign measurement, attribution and incrementality use cases.
• Apply consent, privacy, governance and data minimization rules across identity workflows.
• Partner with product, data, privacy, engineering, media and decision science teams.

Skills

Advanced SQL

Data modeling

BigQuery

GCP

Identity graph

Privacy governance

Stakeholder management

Education

B.Tech or 4-year CS degree

Tools

BigQuery

LiveRamp

UID2

Google PAIR

DV360

Job description

Job Description
Data Engineer / Architect for RMN Identity Spine

Job Description
Data Engineer / Architect for RMN Identity Spine

Must Have Technical/Functional Skills
Senior data engineering talent to support the extension of its existing first-party customer ID spine into an identity spine for Retail Media Network use cases. This role will work across customer identity, ad network IDs, partner IDs, clean room integrations, exposure logs, audience activation and measurement use cases.

Roles & Responsibilities

• Design and build data pipelines and models connecting first-party customer IDs with ad ecosystem identifiers.
• Support integrations with partner IDs and platforms such as Google, Meta, LiveRamp, UID2, clean rooms and third-party data providers.
• Build identity linkage layers for audience activation, personalization, direct partner matching and measurement.
• Ingest and structure exposure logs for campaign measurement, attribution and incrementality use cases.
• Apply consent, privacy, governance and data minimization rules across identity workflows.
• Partner with BBY product, data, privacy, engineering, media and decision science teams.
• Experience with customer identity, CDP, MDM, CRM, audience or identity graph use cases.
• Familiarity with ad tech identifiers, media platform IDs, hashed emails, clean room matching or partner identity resolution.
• Strong data engineering experience on GCP, especially BigQuery.
• Advanced SQL and data modeling.
• Experience building data assets for activation, measurement or attribution.
• Ability to operate independently with senior stakeholders.

Generic Managerial Skills, If any

• LiveRamp, UID2, Google PAIR, Meta, Google Ads / DV360 / CM360, clean rooms.
• Snowflake, AWS Clean Rooms, Epsilon, Acxiom or similar data partnerships.

Retail media, ecommerce, media measurement or MTA experience.

Education

B.Tech or 4-year college / university degree with a relevant post-graduate qualification from premier institution

TCS Employee Benefits Summary

• Discretionary Annual Incentive.
• Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
• Family Support: Maternal & Parental Leaves.
• Insurance Options: Auto & Home Insurance, Identity Theft Protection.
• Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
• Time Off: Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Salary Range: $110000 - 130000 a year

Qualifications

BACHELOR OF COMPUTER SCIENCE