Tech Lead / Junior Data Architect — Microsoft Fabric & Azure heavy

Department: Data Analytics
Experience: 8–10 years
Location: Ahmedabad/ Remote

About Simform:

Simform is a premier digital engineering company specialising in Cloud, Data, AI/ML, and Experience Engineering to create seamless digital experiences and scalable products. Simform has strong capabilities across Microsoft, AWS, Google Cloud, and Databricks. With a presence in 6 countries, Simform primarily serves North America, the UK, and the Northern European market. Simform is well-recognised as one of the most reputed employers in the region, having created a thriving work culture with a high work-life balance that gives a sense of freedom and opportunity to grow.

Role Summary

You will lead a small delivery pod building modern data platforms on Microsoft Fabric and Azure for global clients — from discovery and architecture through to production hand-over. This is a hands-on lead role: approximately 60% architecture and build, 40% technical leadership, code review, and client-facing communication.

The position is an entry point into our Data Architect track. The person who does this well grows into owning platform architecture across multiple accounts.

What you'll do

- Design end-to-end lakehouse / medallion architectures on Microsoft Fabric — OneLake, Lakehouse and Warehouse, Data Factory pipelines, Dataflows Gen2, Notebooks (PySpark), and Direct Lake semantic models.

- Own technical decisions on a project: storage layout, ingestion patterns, orchestration, incremental load strategy, capacity sizing (F-SKUs), and cost/performance trade-offs.

- Lead a team of 3–6 data engineers and BI developers — task breakdown, estimation, peer and PR reviews, and quality gates.





- Translate client requirements into architecture and estimates; participate in discovery workshops and technical presales conversations.

- Implement data governance and security: workspace and RBAC design, row-level security, sensitivity labels, lineage and cataloguing (Microsoft Purview), and data quality rules.

- Set up CI/CD and setting promotion using Fabric deployment pipelines, Git integration, and Azure DevOps.

- Establish and enforce engineering standards — naming conventions, documentation, reusable frameworks, and testing.

- Mentor engineers and contribute to internal capability building, POCs, and reusable accelerators.

Must-have skills
- 8–10 years in data engineering/analytics, with at least 2 years hands-on on Microsoft Fabric in a production (not POC-only) capacity.

- Strong Azure data stack: Azure Data Factory / Synapse, Azure Data Lake Storage Gen2, Azure SQL, Key Vault, and an understanding of networking basics (VNet, private endpoints, gateways).

- Advanced SQL and solid Python/PySpark for transformation at scale.

- Dimensional modeling depth — star schema, SCDs, conformed dimensions — and the judgment to know when to break the rules.

- Power BI semantic modeling8–10 years in data engineering / analytics, with at least 2 years hands-on on Microsoft Fabric in a production (not POC-only) capacity.

- Strong Azure data stack: Azure Data Factory / Synapse, Azure Data Lake Storage Gen2, Azure SQL, Key Vault, and an understanding of networking basics (VNet, private endpoints, gateways).





- Advanced SQL and solid Python / PySpark for transformation at scale.

- Dimensional modeling depth — star schema, slowly changing dimensions, conformed dimensions — and the judgment to know when to break the rules.

- Power BI semantic modeling: DAX, composite and Direct Lake models, performance tuning, deployment pipelines.

- Data governance exposure: Microsoft Purview, or Atlan / Collibra — catalog, lineage, classification, data quality.

- Demonstrated technical leadership: has led a team or workstream, reviewed others’ code, and been accountable for delivery quality.

- Communication: clear written and spoken English; comfortable presenting a design to a client architect and defending it.

Good to have
- Databricks or Snowflake (Unity Catalog, Delta Lake, dbt) — we run multi-platform engagements and cross-platform fluency is valued.

- dbt, Dagster, or similar transformation and orchestration frameworks.

- Real-time / streaming: Fabric Real-Time Intelligence, Event Streams, KQL.

- Migration experience: on-prem SQL / SSIS, Synapse, or Tableau to Fabric / Power BI.

- Exposure to Fabric Copilot / Data Agents or AI-on-lakehouse patterns.

- Certifications: DP-600 / DP-700, DP-203, or Azure Solutions Architect.

What we're looking for beyond the tech
- Takes ownership of outcomes, not just tickets.

- Explains trade-offs in business terms, not only technical ones.

- Comfortable with ambiguity — client requirements arrive incomplete, and we expect the right questions to be asked rather than waiting for clarity.

- Genuinely enjoys mentoring. The team’s growth is part of the job description, not a side effect.

Autofill from resume

Save time by uploading your resume. (Only PDF or DOCX format supported)

Loading...

📌 Data Architect/Tech Lead (Ahmedabad)
🏢 Simform
📍 Ahmedabad