Sr Manager, Data Engineering - HashiCorp

We are looking for a Sr. Manager, Data Engineering to be part of our FP&A’s Digitization team in Noida, Uttar Pradesh, India. This role is expected to be 30% hands on execution building the solutions while the rest is overseeing the delivery and solutioning for the team.

In this role you can expect to drive the following-

Data Strategy and Alignment

• Work closely with Lead- business analysis and analytics to understand requirements and provide data ready for analysis and reporting.
• Apply, help define, and champion data governance : data quality, testing, documentation, coding best practices and peer reviews.
• Continuously discover, transform, test, deploy, and document data sources and data models.
• Develop and execute data roadmap (and sprints) - with a keen eye on industry trends and direction.

Data Stores and System Development

• Design and implement high-performance, reusable, and scalable data models for our data warehouse to ensure our end-users get consistent and reliable answers when running their own analyses.
• Focus on test driven design and results for repeatable and maintainable processes and tools.
• Create and maintain optimal data pipeline architecture - and data flow logging framework.
• Build the data schema, features, tools, and frameworks that enable and empower BI and Analytics teams across FP&A function.

Project Management

• Drive project execution using effective prioritization and resource allocation.
• Resolve blockers through technical expertise, negotiation, and delegation.
• Strive for on-time complete solutions through stand-ups and course-correction.

Team Management

• Manage and elevate team of 2 members.
• Do regular one-on-ones with teammates to ensure resource welfare.
• Periodic assessment and actionable feedback for progress.
• Recruit new members with a view to long-term resource planning through effective collaboration with the hiring team.

Process design

• Set the bar for the quality of technical and data-based solutions the team ships.
• Enforce code quality standards and establish good code review practices - using this as a nurturing tool.
• Set up communication channels and feedback loops for knowledge sharing and stakeholder management.
• Explore the latest best practices and tools for constant up-skilling.

Data Engineering Stack

• Programming : Python ( expert)level. Ability to create API’s on python.
• Database : PostgreSQL, Amazon Redshift
• Warehouse : Snowflake, S3
• ETL : DBT + Custom-made Python
• Business Intelligence / Visualization : M+ Google Data Studio
• Frameworks : Spark + Dash + Stream Lit
• Collaboration : Git, Notion
• Cloud Platform- AWS

Qualification Prerequisites

• Industry experience of minimum 12 years (2 years+ in snowflake)
• Experience managing a team of at least 4 developers end-to-end
• Strong hands-on data modelling and data warehousing skills
• Snowflake Certification is mandatory.
• Strong experience applying software engineering best practices to data and analytics scope (e.g. version control, testing, and CI/CD)
• Strong attention to detail to highlight and address data quality issues
• Excellent time management and proactive problem-solving skills to meet critical deadlines #LI-Onsite #LI-SG1