Solutions Architect - Microsoft Fabric

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.

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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.

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