
Chief Data Architect
18 hours ago
Sikich India is seeking a seasoned data engineer to join our Data & AI practice. This role involves designing, building, and optimizing end-to-end data solutions using Microsoft's cutting-edge data platforms.
This includes implementing contemporary data architecture patterns, creating robust data pipelines, and delivering insight-driven analytics to help clients make informed decisions.
We are looking for an individual with strong expertise in Microsoft Fabric, Azure Synapse Analytics, Databricks, and Power BI.
Key Responsibilities- Design and implement data solutions using ADF, Microsoft Fabric, Synapse, Databricks.
- Build data models for scalable data processing, endpoint processing, and integration.
- Develop and optimize data pipelines (real-time, batch, and BYOD).
- Create semantic models and dimensional models in Power BI.
- Build enterprise dashboards, paginated reports, and self-service analytics solutions.
- Implement row-level security, complex DAX measures, and model optimizations.
- Apply DataOps practices, monitoring, and performance tuning.
- Ensure data security, quality, and governance.
- Integrate predictive analytics with Azure ML where required.
- 5–7 years of data engineering experience (minimum 3 years in Microsoft technologies).
- Strong expertise in Microsoft Fabric, Azure Synapse Analytics, Databricks, Power BI.
- Proficiency in SQL, T-SQL, Spark SQL, Python/Scala, DAX, Power Query (M).
- Experience with real-time streaming (Event Hubs/Kafka) and batch processing.
- Proven track record in implementing medallion architecture and enterprise BI solutions.
- Microsoft Certified: Azure Data Engineer Associate / Fabric Analytics Engineer Associate / Power BI Data Analyst Associate
- Databricks Certified Data Engineer Associate
- Bachelor's degree in computer science, Data Science, Engineering or related field (master's preferred).
- Strong problem-solving, communication, and client-facing skills.
The ideal candidate will be able to work on cutting-edge Microsoft data projects, collaborate with global teams, and contribute to solutions that shape the future of data-driven business decisions.
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