• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• W2-Permanent

• W2-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 24th Jun 2025

Our client is on a mission to modernize their Data Engineering and BI platform, leveraging cutting-edge technologies to drive business success. As a Solution Architect, you’ll play a pivotal role in designing and optimizing Azure-based data solutions that power strategic decision-making.

Join a Global Data Engineering and BI Team where your expertise in Azure, Databricks, Snowflake, Microsoft Fabric, and Power BI will shape the future of data architecture, governance, and performance optimization.

Your Impact

• Architect, build, and optimize scalable data platforms on Azure Cloud to meet evolving business needs.
• Drive the adoption and governance of key technologies, including Azure Databricks, Snowflake, and Power BI.
• Define and enforce best practices for data platform design, security, and performance.
• Collaborate with Enterprise Architecture, Data Engineering, and Data Science teams to implement innovative solutions.
• Lead PoCs and evaluations of emerging technologies to enhance platform capabilities.
• Automate CI/CD deployments using Terraform, Azure DevOps, and Infrastructure-as-Code (IaC) frameworks.
• Ensure data security and compliance by designing robust access controls and encryption strategies.

What You Bring

7+ years of experience architecting enterprise-scale Data & Analytics solutions on Azure
Hands-on expertise in Azure Synapse, SQL Server, ADF, Databricks, Snowflake
Deep understanding of Data Warehouses, Data Lakes, ETL/ELT, and Big Data processing
Strong experience optimizing Azure performance and cost management
Proficiency in Python, PySpark, SQL & T-SQL
Proven ability to design secure platforms following GDPR, PCI, and RBAC standards
Microsoft Azure Certification required

Soft Skills That Set You Apart

• Strategic thinker with a business-first approach to technical challenges.
• A mentor and leader, guiding teams on Azure best practices, architecture, and performance tuning.
• A strong collaborator, working seamlessly with IT teams, product owners, and business stakeholders.
• Agile and always learning, keeping pace with the latest data engineering advancements.