Our client is a FinTech Non Banking Financial Services Company dedicated to driving Financial Inclusion in the MSME sector. Our client is the only company from India recognized globally by the World Bank/IFC with a gold award in 2019 as ‘Bank of the Year-Asia’ for innovative work in SME financing. The company is an RBI-registered Systemically Important NBFC. Headquartered in Bangalore, we have 110 branches across Karnataka, Gujarat, Maharashtra, Andhra Pradesh, Telangana, Tamil Nadu and UT ,Puducherry with more than 1000 employees.
Our client is looking for “Data Warehouse and Engineering Head” for Bangalore location.
Job Title: Data Warehouse and Engineering Head
Department: Data Science & Engineering
Purpose of Job:
Responsible for drawing insights from many sources of data to answer important business questions and help the organization make better use of data in their daily activities and delivery management of Data and Analytics Platform.
Play a critical role as a member of the leadership team in shaping and supporting our overall company vision, day-to-day operations, and culture
Set the technical vision and build the technical product roadmap from launch to scale; including defining long-term goals and strategies
Define best practices around coding methodologies, software development, and quality assurance
Define innovative technical requirements and systems while balancing time, feasibility, cost and customer experience
Build and support production products
Ensure our internal processes and services comply with privacy and security regulations
Establish a high performing, inclusive engineering culture focused on innovation, execution, growth and development
Set a high bar for our overall engineering practices in support of our mission and goals
Develop goals, roadmaps and delivery dates to help us scale quickly and sustainably
Collaborate closely with Product, Business, Marketing and Data Science
Experience with financial and transactional systems
Experience engineering for large volumes of data at scale
Experience with financial audit and compliance is a plus
Experience building a successful consumer facing web and mobile apps at scale
Leading the transformation of analytics systems data warehousing initiatives for the company. Interactions with business stakeholders, users, vendors, and internal teams for effective delivery of data integrations for enabling analytics needs company. Create strategy and roadmaps for the data analytics systems. Ensure agreed methodology is implemented high focus on quality. Project plan tracking and timely delivery of solutions. Keep stakeholders updated with the progress. Schedule and timely tracking of issues. Manage risks and bringing them to a satisfactory resolution for all stakeholders involved. Lead and develop high-performing teams, supporting agile working practices, and digital delivery culture. Promote resilience and responsiveness in the organization by being open and honest about challenges, and the actions required to address unexpected developments.
Develop trusted advisor relationships with teams and stakeholders. Gather and report detailed performance data key indicators, to generate actionable improvements to the quality of service offered. Designs solutions in alignment with security architecture standards. Liaises with internal teams and vendors concerning potential solutions. Identifies and analyses operational risks, collects security expectations, find an optimal solution for the Data and analytical platform operations with high-security standards.
Education: Bachelor’s degree in Data Science/ Stats or other quantitative fields (CS, Engineering, Applied Mathematics, Economics ) from a top university
Work Experience: Min 12 years of experience building and leading growing engineering functions, ideally for a fintech offering with minimum 5 yrs of experience in analytical solutions delivery management
Knowledge of financial services domain mandatory
A thoughtful and proven approach to hiring, mentoring and scaling a top-notch engineering team
Execute against strategy in cooperation with other teams, including Product Management, Data Science, Business, and Marketing
Skills & Competencies
Databases, data warehousing, and technologies
Conceptual understanding of technology Tableau and Talend
Knowledge of cloud architectures preferably∙ Projects and program management based framework
Experience in delivering data warehousing analytics solutions
A strong track record of creating engaging, intuitive and highly secure engineering products from conception to production
Experience in AWS infrastructure and developer operations environments
Experience with Python and Flask is a plus as is Java.
Experience with SQL and No-SQL databases (eg. MongoDB).
Performance production databases (eg. DynamoDB) is ideal and experience with big data frameworks (eg. Spark) is a bonus.