Data Architect

SCOPE OF WORK:

Own the end-to-end analytics stack on Azureingest and model data (ADF/Synapse/Databricks), build governed semantic models, and deliver high-impact Power BI dashboards with rock-solid performance and standardized KPIs.

ROLE & RESPONSIBILITIES:

Data Engineering (Azure)

• Design, develop, and maintain ELT/ETL pipelines in Azure Data Factory (parameterized pipelines, datasets, dataflows).
• Perform advanced extraction and transformation from structured & unstructured sources (SQL Server, MySQL, MongoDB/NoSQL, files/APIs).
• Write and optimize T-SQL (queries, UDFs, views, indexes, CTEs, procs, triggers).
• Build and maintain dimensional models (star/snowflake) and data-warehouse layers; apply proper partitioning and indexing.
• Work with large datasets using Azure Synapse, Databricks, PySpark for processing and analysis.
• Participate in code reviews, troubleshooting, and performance tuning across data solutions.
• Collaborate with cross-functional teams to produce model-ready tables for dashboards and ad-hoc analysis.

Power BI (Semantic Layer & Dashboards)

• Design, develop, and deliver interactive Power BI datasets and reports with strong DAX and Power Query (M).
• Translate business requirements into scalable semantic models, KPIs, and effective visualizations; apply UI/UX best practices and data storytelling.
• Handle large/complex datasets with incremental refresh, composite/aggregation models, and VertiPaq optimizations for fast load times.
• Communicate insights clearly to non-technical stakeholders; proactively improve existing reporting solutions.
• Automate report operations with Power Automate; create Paginated Reports using Power BI Report Builder where needed.

Governance, Security & Operations

• Enforce dataset/report governance: certified datasets, RLS/CLS, workspace policies, usage monitoring.
• Maintain lineage, documentation, and SLA/SLO awareness; drive consistent metric definitions across teams.
• Support CI/CD (Git/ALM Toolkit/Tabular Editor/DAX Studio), gateway management, and environment promotion (Dev/Test/Prod).

COMPETENCIES:

• Strong Azure expertise: ADF, Synapse, Databricks, ADLS; solid T-SQL and PySpark/Python.
• Proven dimensional modelling, schema design, indexing, and performance tuning across data and BI layers
• Ability to convert ambiguous business asks into reliable datasets and impactful dashboards.
• Excellent communication, presentation, and data-storytelling skills; self-driven and solution oriented.

WHAT WE ARE LOOKING FOR:

• Experience: 7-10 years total in Data Engineering.
• Qualification: BTech/MTech
• Prior Experience/Background: Hands-on Synapse/Databricks experience mandatory