Technical Lead - Data Engineering

Role & Responsibilities

• Own and aggressively drive forward Solutions for Data Engineering, Data Governance, Data virtualization & Integration on Cloud and On-premises.
• Develop foundation for laying out non-functional qualities in the platform including resiliency, scalability, security, and lineage.
• Drive excellence and ensure continuous improvement in quality of deliverables.
• Conduct POC in time bound manner for new business problem statements.
• Analyze, define, design and document requirements for data, workflow, logical processes, and operating system environment.
• Advise on the available standards, methods, tools and applications relevant to Business Intelligence, Data Analytics and Data Science and can make correct choices from alternatives.
• Design and code solutions on and off databases for ensuring application access to enable data driven decisions.
• Work with Business consumers and IT teams to enable data services for integrating upstream and downstream applications.
• Work with business partners, data architects, and other groups to identify technical and functional needs of analytical systems and determine priority of needs.
• Oversight and accountability for platform monitoring and issue management.
• Accountable for service performance and data quality

Preferred candidate profile

• Strong understanding & experience of AWS core data services and data service design patterns, or a proven desire and ability to learn AWS services (core accountability of the role).
• Strong understanding of implementing multiple Data Programs viz. Data Lakehouse, Data Warehouse, Advanced Analytics, Master Data Management, Data Modelling, Analytics and Virtualization.
• Possess a combination of solid business knowledge and technical expertise with strong communication skills.
• Proven experience to work under high pressure environment and supporting/managing multiple teams.
• Skilled to lay out correct implementation strategy of various data programs as per business needs.

Education & Experience

• Bachelor's or Master's degree in Computer science, IT or related technical field
• Minimum 10-15 years experience of developing data solutions
• Strong communication skills with ability to work with business and Technology stakeholders
• Demonstrate excellent analytical and logical thinking.