Data Architect

Hi ,

Greetings from Nitor infotech!

Data Architect

This role involves collaborating with cross-functional teamsengineering, analytics, product, and business stakeholdersto create scalable, reliable, and high-performing data solutions that support advanced analytics, BI reporting, and operational workflows.

Key Responsibilities

1. Data Architecture & Design

• Design and implement scalable, secure, and high-performance

  data architectures

  on Azure.
• Develop

  data models, data flows, and metadata layers

  supporting analytics and operational requirements.
• Architect solutions using

  Delta Lake, Parquet, Lakehouse patterns, Data Mesh, or Data Fabric

  (depending on needs).

2. Data Engineering & Pipelines

• Build and optimize

  ETL/ELT pipelines

  using Azure Databricks, Azure Data Factory, and Azure Synapse.
• Manage ingestion of structured and unstructured data into

  Azure Data Lake Storage (ADLS)

  in

  Parquet

  format.
• Ensure data quality, lineage, governance, and documentation.

3. SQL & Storage Optimization

• Write and optimize complex

  SQL queries

  for analytics and operational workloads.
• Optimize storage layers, partitioning, indexing, caching, and query performance.

4. Azure Cloud Ecosystem

• Leverage Azure services such as:
• Azure Data Lake (ADLS)
• Azure Databricks
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Azure SQL Database / Managed Instance
• Azure Purview (Governance)
• Azure DevOps (CI/CD for data)

5. Business Intelligence & Analytics

• Partner with BI teams to design semantic layers for

  Power BI

  dashboards.
• Ensure efficient datasets, DAX best practices, dataflows, and governance for Power BI consumers.

6. Collaboration & Leadership

• Work closely with Product, Engineering, and Analytics teams to understand data requirements.
• Lead data solution design reviews, enforce best practices, and guide engineering teams.
• Support data governance, security, compliance, and data lifecycle management initiatives.

Required Skills & Experience

Technical Skills

• Strong SQL

  expertise (queries, optimization, stored procedures).
• Hands-on experience with

  Azure Databricks

  (PySpark, Delta Lake).
• Experience working with

  Parquet

  and columnar data formats.
• Solid understanding of

  data modeling

  techniques (OLTP, OLAP, star schema, data vault).
• Strong expertise in

  Power BI

  (datasets, DAX, performance tuning).
• Strong command over

  Azure data services

  .
• Experience with

  CI/CD

  using Azure DevOps for data pipelines.

Azure Cloud Ecosystem

• Leverage Azure services such as:
• Azure Data Lake (ADLS)
• Azure Databricks
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Azure SQL Database / Managed Instance
• Azure Purview (Governance)
• Azure DevOps (CI/CD for data)

Wish you all the best!

Thanks & Regards,

VIGNESH

6379146150