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Tata Consultancy Services in Seattle, WA, is seeking a Senior Data Management Engineer to design, implement, and optimize MDM solutions creating a single source of truth. You will drive AWS integrations, build automated data pipelines, and ensure data quality across customer, product, or vendor domains.
The role requires 10+ years in MDM, strong Python and SQL skills, and hands-on experience with Reltio MDM and AWS services. A Bachelor’s degree in CS/IT or related field is expected.
Must Have Technical/Functional Skills
We are seeking a highly skilled Senior Data Management Engineer with a strong background in Master Data Management (MDM) and hands‑on experience implementing solutions within the Amazon Web Services (AWS) cloud ecosystem. In this role, you will design, develop, and implement MDM solutions to create a single source of truth (Golden Record) for Customer, Product, or Vendor domains. You will be a key contributor in integrating MDM platforms with AWS native services, building automated data pipelines, and ensuring data quality across the enterprise.
AWS Cloud Integration: Architect and maintain integrations between MDM systems and AWS services (S3, Lambda, Glue, Redshift, Dynamo, MSK/Kinesis) to ensure scalable data ingestion and distribution.
Data Modeling & Quality: Design master data models, define match/merge rules, survivorship, and data quality checks.
Data Pipeline Engineering: Build and optimize ETL/ELT pipelines to transform source data into MDM‑ready structures.
Collaboration: Work with data stewards, business analysts, and architects to translate business requirements into technical MDM solutions.
Informatica MDM knowledge or experience is preferred and will be considered an added advantage.
Experience: 10+ years of experience in Master Data Management (MDM) implementations, with at least 2‑3 years hands‑on experience in a cloud‑native environment.
MDM Tools: Strong experience with industry‑leading MDM tools (e.g., Reltio).
AWS Proficiency: Proven hands‑on experience with AWS services including S3, Lambda, Glue, Redshift, IAM, and API Gateway.
Programming/Scripting: Proficiency in Python and advanced SQL for data manipulation and automation.
Data Governance: Solid understanding of data stewardship, data lineage, and data quality principles.
Data Modeling: Experience in relational database modeling and JSON/XML data formats.
Methodologies: Experience working within Agile/Scrum teams.
AWS Certification (e.g., AWS Certified Data Analytics – Specialty, Solutions Architect) is plus.
Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Engineering, or a related field.
Generic Managerial Skills, If any
Base Salary Range : $120,000 to $150,000 Per Annum
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.
BACHELOR OF COMPUTER SCIENCE