Posted on: 13-10-2026

Experience: 10-15 years

India-Bengaluru

Job ID #1002280

Role Requirements

- Skills: Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory, Azure Databricks, OneLake, Lakehouse Architecture, Medallion Architecture, Delta Lake, Apache Iceberg, PySpark, SQL, Metadata-Driven Ingestion, Microsoft Purview, Microsoft Entra ID, Azure Key Vault, RBAC, ABAC, Azure Networking, Fabric Deployment Pipelines, Azure DevOps, Git, Power BI, Direct Lake, Data Governance, Data Quality, Data Lineage, SLOs, SLIs
- Own and evolve the High-Level Design (HLD) for Microsoft Fabric-based lakehouse platforms, including Bronze/Silver/Gold medallion architecture, metadata-driven ingestion frameworks, and control, audit, and logging patterns.
- Design and review data ingestion patterns from varied source systems, including AWS-hosted Iceberg/Delta sources, SFTP-delivered batch files, and APIs, into Microsoft Fabric OneLake.
- Define and govern data classification, PII masking/unmasking, and role- and attribute-based access control (RBAC/ABAC) strategies across Bronze, Silver, and Gold layers.
- Design security architecture across network, data, identity, and monitoring/audit dimensions, following Azure and Microsoft Fabric best practices.
- Define governance frameworks incorporating Microsoft Purview, Microsoft Entra ID, Azure Key Vault, Fabric Deployment Pipelines, and Fabric Capacity Metrics.
- Set and track Service Level Objectives/Indicators (SLOs/SLIs) for pipeline reliability, data quality, and platform capacity.
- Review and approve technical designs, code, and deployment plans produced by data engineers; provide architectural sign-off before production promotion.
- Stay current with Microsoft Fabric, Azure Synapse/Databricks, and broader Azure data platform capabilities,



and recommend adoption where beneficial to client outcomes.
- Act as the primary technical liaison between the engineering team and client stakeholders, including client architects, engineering leads, and business sponsors.
- Lead architecture review sessions, design walkthroughs, and technical workshops with clients and partner teams, including Microsoft engineering/FastTrack teams where applicable.
- Translate evolving business, regulatory, and compliance requirements into explicit, documented technical designs and delivery plans.
- Manage client expectations on technical trade-offs, timelines, risks, and dependencies; escalate and resolve issues proactively.
- Prepare and present architecture documentation, status updates, and technical recommendations to technical and non-technical audiences.
- Provide technical mentorship and code/design review guidance to data engineers.
- Standardize reusable architecture patterns, templates, and best practices for future client projects.
- Participate in pre-sales and solutioning activities, including scoping, effort estimation, and proposal input.
- Support hiring, onboarding, and technical upskilling of the data engineering team.
- Have at least 2 years of experience in an architecture or technical-lead capacity.
- Demonstrate hands-on experience with Microsoft Fabric or an equivalent combination of Azure Synapse Analytics, Azure Data Factory,



and Azure Databricks, including Lakehouses, Warehouses, OneLake, Data Factory pipelines, and Notebooks.
- Understand medallion architecture, lakehouse design patterns, Delta Lake and/or Apache Iceberg, format conversion, and table maintenance.
- Demonstrate proficiency in PySpark and SQL for data transformation and experience designing metadata-driven/parameterized ingestion frameworks.
- Have practical experience with Azure security and identity services, including Microsoft Entra ID, Azure Key Vault, VNet, NSGs, Private Endpoints, and VPN/ExpressRoute.
- Have experience with data governance and classification tooling, ideally Microsoft Purview, including sensitive data classification, masking strategies, and data lineage.
- Be familiar with CI/CD for data platforms, Git-based version control, and environment promotion across Dev/UAT/Prod.
- Have working knowledge of Power BI semantic models, Direct Lake mode, and row-/column-level security.
- Understand data quality, observability, and audit logging design, including control tables, execution logs, and reconciliation checks.
- Have experience authoring HLD and/or LLD documents and defining and tracking reliability metrics for data platforms.
- Demonstrate strong client-facing communication, documentation, stakeholder management, negotiation, and expectation-setting skills.
- Microsoft certifications such as DP-600, DP-203, or Azure Solutions Architect Expert are preferred.
- Experience in regulated domains, consulting, systems integration, client services, pre-sales, solution estimation, or proposal writing is preferred.
- Be self-directed and comfortable operating with ambiguity in a greenfield project environment.

📌 Data Architect (Bengaluru)
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📍 Bengaluru