Responsibilities:
- Lead solutioning, engineering and delivery of core capabilities in Lumi: Next Gen Big Data platform
- Delivery best in class Data ops, developer and usecase enablement tooling for users of the platform
- Able to engage the team on coding practices, architecture, design, get under the hood of complex integrated architectures, coding systems, and interface design
- Collaborate successfully with product owners, designers, and a broad set of internal technical partners (across multiple internal groups)
- Ensure product releases are high quality, deliver excellent user experiences, perform seamlessly at scale, and comply with regulatory requirements.
- Partner with peers in technologies to identify opportunities for code sharing, common services, joint development, etc.
- Keep up with the latest industry research and emerging technologies to ensure we are appropriately leveraging new techniques and capabilities.
- Consistently question assumptions, challenge the status quo, and strive for improvement.
- Demonstrate accountability while leading people with passion, enthusiasm, loyalty and integrity. Own and lead HR processes such as performance reviews, talent development, etc. Flawless interpersonal skills and ability to partner with executive leadership to push technical solutions forward.
- Recruit top talent with technical skills, growth potential, design sensibility, and emotional intelligence.
- Lead teams in iterative product development using lean principles.
- Lead teams to provide 24 X 7 on-call support
Minimum Qualifications:
- 10+ years of Software Engineering experience building and managing Petabyte Scale Data Platforms.
- Bachelor’s degree in computer science, Compute Engineering, or related field.
- Experience managing and leading transformation of large-scale data platforms to Public Cloud. Google Cloud Platform, preferred.
- Experience in managing multiple workstreams to migrate Data and Compute workloads (Hive, MapReduce and Spark) from on-prem Hadoop to Public Cloud Platform.
- Must have a deep understanding of distributed data management frameworks (like Apache Spark, Apache Beam, Apache Flink etc)
- Must have a good understanding of Massive Parallel Processing, Postgres and NoSQL (Hbase / Cassandra etc.) systems
- Demonstrated experience in driving execution of multi-year strategy with defined KPI’s / OKR’s on platform adoption
- Experience in running developer advocacy programs at scale across Enterprise Cloud certification preferred
- Strong verbal and written communication skills with an ability to explain complex problems and ideas clearly and succinctly to senior management.
- Highly motivated self-starter with ability to juggle multiple tasks in a fast-paced, ambiguous environment, with excellent organization skills and careful attention to detail.
- Proven track record of instilling culture of technical excellence, engineering best practices, and strive for execution efficiencies.