Lead Data & MDM Architect (Azure Data Platform)

Nextjob
Full-timeColombo, Sri Lanka

The Company

We are an award-winning software product engineering company that has delivered bespoke web, enterprise, mobile, and cloud solutions to clients around the world for over 25 years. The company has recently expanded into AI-driven innovation, offering AI development, consulting and implementation, data engineering and master data management, and cloud architecture alongside its core software development services. We are a Microsoft Silver Partner and AWS partner, ISO certified, and a SLASSCOM member, and in 2025 won gold at every major national technology award ceremony in Sri Lanka.

With long-standing partnerships spanning 5 to 15+ years with global clients across healthcare, logistics, and enterprise software, we combine deep technical expertise with a client-first approach — helping start-ups and enterprises alike scale through digital transformation. The company prides itself on dedication, continuous improvement, and adaptability, building teams and solutions that grow and evolve alongside its clients' changing needs.

Employment Details

  • Employment Type: Full-Time (2 Year Contract)
  • Work Arrangement: Onsite (Colombo, Sri Lanka)
  • Working Days: Monday to Friday
  • Working Hours: 9:00 a.m. to 6:00 p.m.
  • Experience: Minimum 8+ years in enterprise data engineering/architecture with significant solution architecture responsibility.
  • Salary: Paid in USD
  • Communication: Strong English communication skills, both written and verbal (minimum 9/10 proficiency)
  • Travel: The role requires occasional overseas travel, with individual assignments of up to two weeks, depending on project requirements.

Role Overview

Own the end-to-end data and MDM architecture and provide technical design authority across the program. The role connects source systems, Lakehouse/data engineering, MDM, integration, governance, security and downstream consumption into a coherent, supportable architecture.

Key Responsibilities

  • Define and maintain the target data/MDM architecture, architecture principles and decision records.
  • Own the canonical master-data model, global identifier strategy and source-system cross-reference approach.
  • Define the boundary between pre-MDM standardization/data-quality processing and MDM mastering capabilities.
  • Lead architecture for ADLS Gen2, Azure Databricks/Spark, Profisee MDM, Microsoft Purview and integration services.
  • Define coexistence/consolidation patterns, controlled source-system write-back and downstream consumption.
  • Guide matching, survivorship, attribute authority, stewardship and Golden Record design with business/governance leads.
  • Review source-system integration patterns including REST APIs, CDC, files and event-driven integration.
  • Ensure security, privacy, lineage, auditability and regional/data-residency requirements are designed in.
  • Chair or lead technical Design Authority and maintain the architecture decision backlog.
  • Participate in Steering committee forums for strategic decisions.
  • Mentor engineers and ensure architecture is implementable rather than conceptual only.

Must-Have Experience & Skills

  • 8+ years in enterprise data engineering/architecture with significant solution architecture responsibility.
  • Strong Azure data-platform architecture experience.
  • Strong Databricks/Spark, Delta Lake/lakehouse and ADLS Gen2 understanding.
  • Practical MDM knowledge: canonical models, entity resolution, Golden Records, survivorship, source authority, stewardship and global IDs.
  • Strong API/integration architecture and distributed-system design.
  • Ability to work with security, privacy, governance and multi-region constraints.
  • Strong stakeholder communication and architecture documentation.

Preferred / Nice-to-Have

  • Hands-on Profisee experience or another enterprise MDM platform.
  • Microsoft Purview / data catalog / lineage experience.
  • Experience with large global Customer/Supplier/Organisation master-data programmes.
  • Azure architecture certification and/or Databricks certification.

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