Position : Data Solutions Architect

Location : Hyderabad(3 Day work from Office)

Prefers local to Hyderabad

:

Data Architecture & Design

- Lead the end-to-end and design of data platforms using databricks, Microsoft Fabric/ Synapse Analytics/ADF and SparkSQL/pyspark.
- Define and implement data models, warehouse/lakehouse designs, and normalization strategies to support manufacturing analytics.
- Establish data integration patterns, ingestion pipelines, and governance frameworks across structured, semi-structured, and unstructured data sources.
- Drive adoption of best practices in SQL, PySpark, and data lakehouse technologies.
- Should have strong working experience in Databricks
- Good understanding of Medallion architecture

Technical Leadership & Guidance

- Partner with data engineers, BI developers, and business stakeholders to translate requirements into scalable data solutions.
- Lead the team and provide reviews, performance tuning, and optimization guidance across databricks,SQL, PySpark, and Synapse/ADF/MSFabric workloads.
- Mentor and guide teams in building efficient Lakehouse, pipelines, ELT/ETL frameworks, and reusable components.
- Establish standards for security, compliance, metadata management, and lineage tracking.





Analytics & Reporting Enablement

- Lead & Develop enterprise BI solutions in Power BI, ensuring performance, usability, and self-service capabilities.
- Define semantic models and KPIs relevant to the various domains.
- Collaborate with business teams to operationalize advanced analytics, predictive maintenance, and digital twin use cases.

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Technical Skills Primary

- 10+ years of experience in data engineering, or analytics roles.
- Databricks (Unified Analytics Platform)
- ETL / ELT Design (Fabric, Synapse, ADF)
- Spark SQL & PySpark — large-scale data transformations
- Delta Lake — ACID transactions, time travel, schema evolution
- Databricks Workflows & Jobs scheduling
- Unity Catalog — data governance & access control
- MLflow — experiment tracking & model registry
- Data Modelling (Dimensional & Relational)
- Understanding of Data Security & Governance (RBAC, Masking, etc.)
- Knowledge of data governance, MDM, and data quality frameworks.
- Familiarity with cloud-native architecture (Azure ecosystem) and DevOps/DataOps practices.
- Solid communication skills to Lead the team and handle senior business and IT stakeholders.

📌 Solutions Architect - Microsoft Fabric (Hyderabad)
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