Solution Architect

Job Description 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 -