Owns end-to-end architecture of the Azure data platform (Fabric, Databricks, Azure services) and sets the governance, security, and DataOps standards engineering teams implement. Design authority and primary architecture advisor to the client, not the day-to-day builder.
Experience Required- 8-10+ years overall in data engineering / cloud architecture, including 3+ years as a Solution Architect or in a comparable design-authority role.
- Microsoft Fabric: 2+ years hands-on.
- Azure Databricks: 4+ years hands-on.
- Proven track record designing and delivering enterprise-scale Azure data platforms end-to-end.
- Azure is mandatory; experience across multiple client engagements or a consulting/SI background is a plus.
- Fabric & Databricks architecture.
- ADF.
- ADLS.
- Entra ID.
- Key Vault.
- Monitor/Log Analytics.
- Workspace & environment strategy.
- Lakehouse/Warehouse.
- OneLake.
- Pipelines/Notebooks.
- REST APIs/CLI.
- Governance.
- Workspace strategy.
- Unity Catalog.
- RBAC.
- Jobs/Workflows.
- Delta Lake.
- Asset Bundles.
- ML platform integration.
- Azure DevOps/GitHub CI/CD.
- Terraform & Bicep.
- Branching/release strategy.
- Reusable IaC modules.
- Entra ID.
- RBAC architecture.
- Private Endpoints/DNS.
- Key Vault integration.
- CI/CD & test gates for pipelines.
- Data-quality frameworks.
- Observability/alerting architecture.
- SLAs/SLOs.
- Incident-management practices.
- FinOps guardrails.
- Own end-to-end architecture; translate requirements into scalable, secure, cost-effective designs.
- Design enterprise-scale Fabric/Databricks architecture including workspace, networking, security, and governance.
- Set standards for CI/CD, IaC, DataOps, and environment management; ensure enterprise security and regulatory compliance.
- Evaluate technology options; identify architectural risks and define mitigation strategies.
- Act as the primary architecture point of contact for the client; lead workshops and present trade-offs and roadmaps to senior stakeholders.
- Provide technical oversight across implementation teams; conduct architecture and design reviews.
- Mentor Leads and Architects; establish reusable reference architectures and engineering standards.
- Azure Solution Architecture.
- Fabric Architecture.
- Databricks Architecture.
- Enterprise Data Architecture.
- Security & Governance.
- Client Advisory & Consulting.
- Cost & performance optimization.
- Data-mesh/data-product exposure.
- Client-industry experience.
- Multi-cloud (AWS/GCP) exposure.
Note:
By submitting your application, you consent to being contacted by our Talent Acquisition team via phone call, email, SMS, WhatsApp, or other communication channels regarding your application and relevant career opportunities.Skills Required
- 8-10+ years of experience in data engineering or cloud architecture
- 3+ years as a Solution Architect or in a comparable design-authority role
- 2+ years of hands-on Microsoft Fabric experience
- 4+ years of hands-on Azure Databricks experience
- Proven experience designing and delivering enterprise-scale Azure data platforms end-to-end
- Mandatory Azure experience
- Azure Solution Architecture expertise
- Fabric Architecture expertise
- Databricks Architecture expertise
- Enterprise Data Architecture expertise
- Security and Governance expertise
- Client advisory and consulting experience
- Experience with Microsoft Fabric workspace and environment strategy, Lakehouse, Warehouse, OneLake, pipelines, notebooks, REST APIs or CLI, and governance
- Experience with Azure Databricks workspace strategy, Unity Catalog, RBAC, Jobs, Workflows, Delta Lake, Asset Bundles, and ML platform integration
- Experience with Azure DevOps or GitHub CI/CD, Terraform, Bicep, branching and release strategies, and reusable IaC modules
- Experience designing Entra ID, RBAC, Private Endpoints, DNS, and Key Vault integrations
- Experience establishing DataOps standards, including CI/CD test gates, data-quality frameworks, observability, alerting, SLAs, SLOs, incident management, and FinOps guardrails
- Consulting or systems integrator background
- Cost and performance optimization experience
- Data mesh or data product exposure
- Client-industry experience
- Multi-cloud exposure to AWS or GCP
What We Do
Sigmoid is a leading data engineering and AI solutions company that helps enterprises gain a competitive advantage with effective data-driven decision-making. Our team is strongly driven by the passion to unravel data complexities. We generate actionable insights and translate them into successful business strategies. We leverage our expertise in open-source and cloud technologies to develop innovative frameworks catering to specific customer needs. Our unique approach has positively influenced the business performance of our Fortune 500 clients across CPG, retail, banking, financial services, manufacturing, and other verticals. Backed by Sequoia Capital, Sigmoid has offices in New York, San Francisco, Dallas, Lima, Amsterdam, and Bengaluru. We are recognized among the world's fastest growing and innovative tech companies, winning several awards and recognition like the Deloitte Technology Fast 500, Financial Times- The Americas’ Fastest Growing Companies, Inc. 5000, Great Place To Work- India’s Best Leaders in Times of Crisis, Data Breakthrough, Aegis Graham Bell, TiE50, NASSCOM Emerge 50, and others. Learn more: https://www.sigmoid.com/ or https://sigmoid.com/careers/ for careers.
