Data, Engineering & Architecture | Alkemiz Pty Ltd.

Location
Remote — anywhere in India.
⏰ Availability
Only Immediate Joiners should apply.

About Alkemiz
Alkemiz is a direct-hiring IT services company focused on data engineering, analytics, and platform architecture. We build and manage modern data platforms — particularly on Microsoft Fabric — and our teams work hands-on with Lakehouse architecture, Power BI, and cloud data engineering to deliver real business outcomes for retail-focused clients. We operate a close-knit offshore-onshore delivery model, giving our engineers exposure to Australian retail data challenges within a collaborative, technically strong team that values positive architecture, practical judgement, and ownership.
About the Role
Alkemiz is looking for a Fabric Data Lead to serve as the technical authority for our Microsoft Fabric estate — ensuring it is well governed, fit for purpose, and aligned to business needs.
The Fabric Data Lead applies strong design and architecture principles with practical judgement, leading DataOps delivery to balance agility, scalability, quality, and performance. You'll work closely with the Power BI reporting team to understand retail reporting requirements, then design data engineering solutions and semantic models that follow sound architecture patterns within operational constraints.
️ Key Responsibilities
Fabric Governance
Ensure every Fabric asset has a clear purpose, defined lifecycle, named business owner, and demonstrable business value
Actively monitor Fabric capacity usage and implement practical controls to stay within allocated capacity
Ensure data pipelines are resilient, robust, and supported by effective alerting and monitoring
Solution Design & Delivery
Translate analytics and business requirements into clear technical requirements and delivery plans
Apply Fabric best practices and DataSecOps principles to design robust,



scalable, maintainable solutions
Ensure relational data models, notebook code, SQL procedures, semantic models, and other artefacts are optimised and well designed
Lead the team to deliver well-architected solutions, using AI responsibly under strong human judgement and accountability
Cross-Functional Collaboration
Collaborate with business and domain owners, the reporting team, and other IT teams to align priorities and deliver fit-for-purpose outcomes
✅ Must-Have Requirements
8–12+ years in data engineering (or data engineering + software engineering) and BI, with demonstrated ownership of end-to-end solution design
Minimum 2 years hands-on Microsoft Fabric delivery
Demonstrated experience leading or mentoring a data engineering team, including code/design review responsibility
Track record operating within a fixed platform capacity budget (Fabric capacity SKUs, Databricks DBUs, Synapse pools, or equivalent), making trade-off decisions to stay within it
Experience defining or operating within a data governance framework — approval gates, ownership models, lifecycle/retention policy
Prior experience working in an offshore/onshore delivery team
⭐ Good-to-Have
Microsoft certifications relevant to Fabric/Power BI
Prior experience in the Retail sector
Technical Skills
Fabric Lakehouse & Warehouse design (Medallion Architecture)
Fabric pipelines & notebooks (SQL, Python, PySpark/Spark SQL)
OneLake structure and Direct Lake mode into Power BI
Power BI semantic model design and DAX
Fabric capacity administration and workspace governance
Git-based version control and CI/CD (Azure DevOps or GitHub) for Fabric artefacts
Security fundamentals: row-level security, column-level security, sensitivity labels, secrets management
Location
Remote — anywhere in India.
⏰ Availability
Only Immediate Joiners should apply.
How to Apply
Interested candidates can DM or send their profile to

📌 Fabric Data Lead (New Delhi)
🏢 Alkemiz
📍 New Delhi