Position : Data Solutions Architect
Location : Hyderabad(3 Day work from Office)
Prefers local to Hyderabad

Job Description :

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 solid 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 & acces

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