MDM - Solution Architect

8 years

0 Lacs

Posted:9 hours ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Experience: Minimum 8 - 12 Years

Shift: 5PM - 2 AM (US Shift)

Mode of work: REMOTE - Work from Home

Location: Hyderabad Only


Background Verification of the candidates will be done.

Strictly NO moonlighting.


KEY ACCOUNTABILITY

We are seeking a hands-on MDM Architect preferably with strong healthcare or a regulated industry data expertise to design and build an in-house Master Data Management platform for a team that currently has a tech stack of Azure and Databricks. This individual will define the enterprise MDM strategy, build scalable architecture, and ensure compliance with healthcare data standards while enabling a single, trusted view of critical data domains across the organization. The architect will play a key role in aligning clinical, operational, and financial data assets to support advanced analytics, interoperability, and regulatory compliance.

POSITION DUTIES AND RESPONSIBILITIES

Work with DG Director and Managers to:

  • Define the MDM architecture strategy and blueprint for an in-house solution preferably leveraging Azure and Databricks.
  • Lead the design of canonical data models, hierarchy management, matching & merging rules, and survivorship logic.
  • Architect and implement MDM data pipelines, matching engines, and real-time master data services preferably using Databricks, Delta Lake, and Azure services.
  • Identify and prioritize master data domains (e.g., Patient, Provider, Facility, Payer, Encounter, Device).
  • Establish data stewardship, governance frameworks, and data quality rules aligned with healthcare regulatory standards such as HIPAA and FHIR.
  • Collaborate with product, clinical, compliance, and engineering teams to ensure proper integration of master data into enterprise systems (EHR, CRM, ERP, Analytics).
  • Implement data lineage, metadata management, and golden record creation strategies.
  • Evaluate and implement identity resolution techniques, data cleansing, standardization, and deduplication algorithms.
  • Provide architectural leadership and mentor engineering teams on MDM principles and implementation patterns.
  • Partner with security teams to ensure data protection and privacy compliance.


QUALIFICATIONS

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field.
  • 8+ years of experience in data engineering / data architecture, with significant years in MDM or reference data solutions.
  • Prior experience building custom MDM solutions (not just using off-the-shelf platforms).
  • Solid understanding of data modeling, entity resolution, and golden record strategies.
  • Familiarity with identity resolution, probabilistic matching, and standardization algorithms.
  • Experience implementing real-time or near real-time MDM services.
  • Strong understanding of metadata and data cataloging tools.
  • Experience integrating MDM with downstream systems and building APIs or microservices to consume master data.
  • Strong experience with data governance and quality frameworks.
  • Excellent communication and stakeholder engagement skills.


PREFERRED QUALIFICATIONS

  • Strong hands-on experience with Azure ecosystem (Azure Data Lake, Azure Synapse Analytics, Azure Data Factory, Azure Key Vault).
  • Expertise in Databricks (PySpark, Delta Lake, Unity Catalog, streaming pipelines).
  • Experience working with healthcare data sets (EHR, claims, HL7, FHIR).
  • Familiarity with healthcare compliance and interoperability standards (HIPAA, FHIR, HL7).
  • Knowledge of master data domains in healthcare (patients, providers, payers, locations, encounters).
  • Experience with DevOps, CI/CD and Infrastructure as Code (Terraform, Azure DevOps).


LEADERSHIP QUALIFICATIONS

  • Strategic thinker with ability to architect scalable, compliant data solutions.
  • Able to translate business needs into technical data architectures.
  • Strong documentation and communication skills.
  • Collaborative leader comfortable working with compliance, clinical, and engineering stakeholders.


Education

Bachelor’s or Master’s in Computer Science, Engineering, IT, or related

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