Experience : Minimum 8 - 12 Years
Shift : 5PM - 2 AM (US Shift)
Mode of work : REMOTE - Work from Home
Location : Hyderabad Only
Notice Period : Immediate Joiners 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
Skills Required
data engineering , Metadata Management, Data Modeling, Pyspark, Microservices, Terraform, Azure Synapse Analytics, Azure Data Lake, Data Architecture, Data Governance, Azure Devops, Apis, Devops, Azure Data Factory, Hl7, Databricks, Azure