Position : Data Solutions Architect

Location : Hyderabad(3 Day work from Office)

Prefers local to Hyderabad

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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
Valuable 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.

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