06 Aug
|
OwlSure
|
Hyderabad
OwlSure, A Business Unit of ValueMomentum - We’re Hiring: Data Lead
Seniority Level: Senior Leadership
Industry: IT Services and IT Consulting
Job Function: Data Engineering | Data Architecture | Information Technology About OwlSure OwlSure enables Financial Services, Healthcare, and Life Insurance organizations to achieve value for their budgets, accelerate speed-to-market, and scale operations. Through thoughtfully designed solutions and highly automated managed services, we deliver reliable outcomes backed by deep technical expertise and a continuously optimized delivery platform.
Job Title: Offshore Data Lead
Location: Hyderabad Role Summary
We are seeking an experienced Offshore Data Lead to lead the design, implementation, and delivery of enterprise-scale data and AI solutions using Microsoft Fabric and the Microsoft Azure Data Platform. The ideal candidate will possess deep expertise in modern data engineering, cloud-native architectures, AI-enabled data solutions, and Banking & Financial Services data platforms.
This role requires strong technical leadership, customer engagement, solution architecture expertise, and the ability to lead engineering teams while driving enterprise data modernization initiatives. The successful candidate will work closely with customer stakeholders, architects, and engineering teams to deliver scalable, secure, and AI-enabled data platforms. Key Responsibilities
Data Platform Architecture & Solution Design
Lead the design and implementation of enterprise-scale solutions using Microsoft Fabric and Azure Data Services.
Design and implement
Microsoft Fabric OneLake
Fabric Lakehouse
Fabric Warehouse
Data Factory
Data Pipelines
Notebooks
Real-Time Analytics
Power BI solutions
Define enterprise data architecture, integration patterns, and governance frameworks.
Design conceptual, logical, and physical data models aligned with Banking & Financial Services domain entities. Data Engineering & Modernization
Develop scalable data ingestion and transformation pipelines using:
Microsoft Fabric
Azure Data Factory
Azure Databricks
PySpark
SparkSQL
SQL
Python
Build Bronze, Silver, and Gold data models using Medallion Architecture.
Design enterprise Data Lake, Lakehouse, Data Warehouse, and Analytics platforms.
Process structured, semi-structured, and unstructured data from:
SQL Server
Oracle
APIs
JSON
XML
CSV
Parquet AI & Advanced Analytics Design and develop AI-enabled applications using:
Azure OpenAI Service
Azure AI Search
Azure AI Document Intelligence
Microsoft Foundry / Azure AI Foundry
Azure Machine Learning
Support AI-driven analytics and intelligent data platform initiatives.
Design data foundations for reporting, APIs, analytics, and AI use cases. Data Governance & Engineering Excellence
Define enterprise standards for
Data Governance
Data Quality
Security
Performance Optimization
Data Integration
ETL/ELT Frameworks
Establish engineering best practices including:
CI/CD
DataOps
DevSecOps
Code Reviews
Automated Testing
Monitoring
Troubleshooting
Production Support
Implement Azure DevOps and Git-based development practices. Leadership & Delivery
Lead engineering teams and oversee end-to-end technical delivery.
Mentor engineers and establish technical standards across delivery teams.
Conduct architecture reviews and solution design sessions.
Ensure scalability, performance, reliability, and operational excellence across data platforms.
Collaborate with business stakeholders, enterprise architects, and engineering teams to deliver successful customer outcomes. Banking & Financial Services Domain Apply domain expertise across:
Customer 360
Accounts
Transactions
Lending
Payments
Treasury
Risk Management
Fraud Detection
Compliance
Regulatory Reporting
Design scalable domain-specific data models and analytical platforms supporting enterprise banking initiatives.
Required Skills & Experience Experience
12+ years of overall experience in Data Engineering, AI, and Modern Data Platform development.
Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related discipline.
Proven experience leading enterprise-scale Azure and Microsoft Fabric implementations.
Experience leading technical teams and managing customer stakeholders within Banking & Financial Services engagements.
Technical Skills Microsoft
Fabric
OneLake
Lakehouse
Warehouse
Data Factory
Data Pipelines
Notebooks
Real-Time Analytics
Power BI
Microsoft Azure Data Platform
Azure Data Factory
Azure Data Lake Storage Gen2
Azure Databricks
Azure Synapse Analytics
Azure SQL
Data Engineering
Python
PySpark
SparkSQL
SQL
ETL / ELT
Data Integration
Data Modeling
Medallion Architecture (Bronze, Silver, Gold)
AI & Advanced Analytics
Azure OpenAI Service
Azure AI Search
Azure AI Document Intelligence
Microsoft Foundry / Azure AI Foundry
Azure Machine Learning
Engineering Practices
Azure DevOps
Git
CI/CD
DataOps
DevSecOps
Performance Optimization
Data Governance
Data Security
Data Quality
Preferred Qualifications
Hands-on experience with Microsoft Fabric, Azure Synapse Analytics, Azure Data Lake Storage, Snowflake, and Azure AI Services.
Experience with Apache Spark, Azure Databricks, PySpark, and SparkSQL.
Microsoft certifications such as
DP-203: Azure Data Engineer Associate
DP-600: Microsoft Fabric Analytics Engineer Associate
Other Microsoft Azure AI and Data certifications
Strong Banking & Financial Services domain expertise across Core Banking, Lending, Payments, Treasury, Risk Management, Fraud Detection, Compliance, and Regulatory Reporting. Leadership & Qualified Skills
Strong customer-facing communication and stakeholder management skills.
Proven ability to lead engineering teams and technical delivery.
Strong analytical, architecture, and problem-solving capabilities.
Experience collaborating with business, architecture, and engineering teams.
Ability to drive technical excellence, mentoring, and continuous improvement.
Why Join
OwlSure?
Lead enterprise-scale Microsoft Fabric and Azure Data Platform transformation programs.
Drive AI-enabled data modernization initiatives for Banking & Financial Services clients.
Work with global customers on next-generation cloud data and analytics platforms.
Influence enterprise architecture, engineering best practices, and AI-driven innovation.
Be part of a growing Data, AI, and Cloud Engineering practice focused on delivering scalable, intelligent, and future-ready solutions.
📌 Data Team Lead (Hyderabad)
🏢 OwlSure
📍 Hyderabad