Job Description
Guiding towards optimized cloud-native architectures, future state of Client's data platform,
Strategic recommendations and Microsoft Fabric integration.
Key Responsibilities
• Lead all interviews & workshops to capture current/future needs.
• Direct the technical review of Azure (AZ) infrastructure (Databricks, Synapse Analytics, Power BI) and critical on-
premises (on-prem) systems.
• Come up with architecture designs (Arch. Designs), focusing on refined processing strategies and Microsoft Fabric.
• Understand and refine the Data Governance (Data Gov.) roadmap, including data cataloguing (Data Cat.), lineage,
and quality.
• Lead project deliverables, ensuring actionable and strategic outputs.
• Evaluate and ensure quality of deliverables within project timelines
• Develop a strong understanding of equity market domain knowledge
• Collaborate with domain experts and business stakeholders to understand business rules/logics
• Ensure effective, efficient, and continuous communication (written and verbally) with global stakeholders
• Independently troubleshoot difficult and complex issues on dev, test, UAT and production environments
• Responsible for end-to-end delivery of projects, coordination between client and internal offshore teams and manage
client queries
• Demonstrate high attention to detail, should work in a dynamic environment whilst maintaining high quality standards,
a natural aptitude to develop good internal working relationships and a flexible work ethic
• Responsible for Quality Checks and adhering to the agreed Service Level Agreement (SLA) / Turn Around Time
(TAT)
Desired Experience & Qualification
Candidates should have a B.E./B.Tech/MCA/MBA in Finance, Information Systems, Computer Science or a
related field
◼ 7+ years of experience as a Data and Cloud architecture with client stakeholders
◼ AZ Data Platform Expertise: Synapse, Databricks, Azure Data Factory (ADF), Azure SQL (DW/DB), Power BI
(PBI).
◼ Define modernization roadmaps and target architecture.
◼ Strong understanding of data governance best practices for data quality, Cataloguing, and lineage.
◼ Proven ability to lead client engagements and present complex findings.
◼ Excellent communication skills, both written and verbal
◼ Extremely strong organizational and analytical skills with strong attention to detail
◼ Strong track record of excellent results delivered to internal and external clients
◼ Able to work independently without the needs for close supervision and collaboratively as part of cross-team
efforts
◼ Experience with delivering projects within an agile environment
◼ Experience in project management and team management