Job Description
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 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.
•
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.
• Strong communication skills to Lead the team and handle senior business and IT stakeholders.