Jobs · Engineering · Washington

MDM Developer -Reltio

Tata Consultancy Services · Seattle, WA · 3 mo ago
Engineering$120k–$150k/yrFull-time

About the role

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.

Responsibilities

  • Lead the end-to-end design, configuration, and implementation of MDM platforms (e.g., Reltio).
  • Architect and maintain integrations between MDM systems and AWS services (S3, Lambda, Glue, Redshift, Dynamo, MSK/Kinesis) to ensure scalable data ingestion and distribution.
  • Design master data models, define match/merge rules, survivorship, and data quality checks.
  • Build and optimize ETL/ELT pipelines to transform source data into MDM-ready structures.
  • Work with data stewards, business analysts, and architects to translate business requirements into technical MDM solutions.

Requirements

  • 10+ years of experience in Master Data Management (MDM) implementations, with at least 2-3 years hands-on experience in a cloud-native environment.
  • Strong experience with industry-leading MDM tools (e.g., Reltio).
  • Proven hands-on experience with AWS services including S3, Lambda, Glue, Redshift, IAM, and API Gateway.
  • Proficiency in Python and advanced SQL for data manipulation and automation.
  • Solid understanding of data stewardship, data lineage, and data quality principles.
  • Experience in relational database modeling and JSON/XML data formats.
  • Experience working within Agile/Scrum teams.
  • Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Engineering, or a related field.

Skills

  • Reltio MDM: Hands-on experience with Reltio MDM.
  • AWS Services: Hands-on experience with AWS services/cloud.
  • Programming: Proficiency in Python; SQL for data manipulation and transformation.
  • Data Wrangling: Experience with data preparation, feature engineering, and data transformation.
  • Problem Solving: Strong analytical and problem-solving skills, with a focus on translating business questions into data science problems.
  • Communication: Ability to communicate complex results clearly to both technical and non-technical stakeholders.

Preferred Qualifications

  • AWS Certification (e.g., AWS Certified Data Analytics – Specialty, Solutions Architect).
  • Informatica MDM knowledge or experience.

Benefits

  • 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.

Pay

Base Salary Range: $120,000 to $150,000 per annum.

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