Head Of Engineering – 15+ Years - Gurgaon
As Head of Data Engineering, you are part of Enterprise Architecture, Data & Integration team focusing on enhancing the overall availability, accessibility, and monetization of data across Business functions. You will be responsible for building hybrid and multi-cloud solutions with seamless integrations across multiple customer-facing digital assets, back-end systems, and external sources.
Location- Gurgaon
Your Future Employer - A leading insurance company offering a range of life insurance plans and policies to ensure Lifetime Protection.
Responsibilities-
• Own the Grow, Run and Transformation programs end-to-end data fabric inclusive of data lake, data stores, EDW, visualization.
Own the data platform roadmap (what needs to be done, by when, effort required, potential impact etc.)
Execute the roadmap, including budget, schedule, and quality of delivery basis functional and non-functional customer requirements.
Understand the business context to lead team through prioritization, planning, solutioning, requirements gathering, data model designs, standardized data definitions.
Undertake detailed analysis of the information management requirements across all systems, platforms & applications to and steer development activities and ensure they are consistent and well-integrated with the established MLI information architecture delivering desired business outcomes.
Co-create the evolution and transformation of information architecture, across multiple data types working closely with various business stewards, data stewards & architects, partners/consumers, MIS team, AI/ML team and other departments to design, deliver and govern future proof data assets and solutions.
Design and ensure delivery excellence for a) large & complex data transformation programs, b) small and nimble data initiatives to realize quick gains, c) work with OEMs and Partners to bring the best tools and delivery methods.
Steward a team of high performing professionals including BAU data to day activities, milestones, sustain operations of end-to-end data fabric, 1-1s, goals, learning & development and reviews.
Define, develop, and communicate information management standards relating to the location, media type and security requirements to facilitate efficient and secure management of all data elements.
Ensure regulatory issues are considered surrounding information assets
Requirements :
15+ years of experience with technical analysis, architecting and implementation of data warehousing and data lake solutions on-premises and on-cloud (preferably AWS Native Lake Platform and services, Glue, EMR, DMS, Redshift)
10+ years of hands-on experience data engineering & modelling, reporting, analytics platforms – Relational Database, NoSQL, Hadoop, SPARK, Informatica, CDC, SAS, Visualization and Dashboarding tools/libraries, BODS, Apache NiFi, EMR, Erwin and/or Rational Rose, real-time data streaming tools (Kafka, kinesis) etc.
Should have architected and delivered at least 3+ EDW, Data Lake projects.
5+ experience of designing and modernizing existing data stores/EDW on cloud platform.
Experience in Insurance and BFSI domain is a plus.
Experience in presenting data strategy and architecture for specific business needs to peers and senior management.
Should be working or should have worked with reputed organizations or startups
What is in for you-
- A stimulating working environment with equal employment opportunities.
- Growing of skills while working with industry leaders and top brands.
- A meritocratic culture with great career progression.
Reach us- If you feel that you are the right fit for the role please share your updated CV at Nancy.thakur@crescendogroup.in
Disclaimer- Crescendo Global specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging memorable job search and leadership hiring experience. Crescendo Global does not discriminate on the basis of race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Profile Keywords : Enterprise Architecture, AWS, Data Lakes, AWS Glue, Redshift