What are the responsibilities and job description for the Lead Data Engineer position at HarbourVest Partners?
Job Description Summary
For over forty years, HarbourVest has been home to a committed team of professionals with an entrepreneurial spirit and a desire to deliver impactful solutions to our clients and investing partners. As our global firm grows, we continue to add individuals who seek a collaborative, open-door culture that values diversity and innovative thinking.
In our collegial environment that’s marked by low turnover and high energy, you’ll be inspired to grow and thrive. Here, you will be encouraged to build on your strengths and acquire new skills and experiences.
We are committed to fostering an environment of inclusion that promotes mutual respect among all employees. Understanding and valuing these differences optimizes the potential of both the individual and the firm.
HarbourVest is an equal opportunity employer.
This position will be a hybrid work arrangement, which translates to 2-3 days minimum per week in the office.
The lead data engineer will work toward the transformation of our firm’s data infrastructure, primarily using the Snowflake data environment, plus the Azure data stack as well.
The resource joining us will partner with product owners, data owners, project managers, business users, data engineers, and infrastructure engineers to form complete end-to end-solutions. The resource will enjoy working in an evolving, fast-paced environment, and bring a work style marked by high energy, flexibility, quick learning, and collaboration.
The ideal candidate is someone who has:
For over forty years, HarbourVest has been home to a committed team of professionals with an entrepreneurial spirit and a desire to deliver impactful solutions to our clients and investing partners. As our global firm grows, we continue to add individuals who seek a collaborative, open-door culture that values diversity and innovative thinking.
In our collegial environment that’s marked by low turnover and high energy, you’ll be inspired to grow and thrive. Here, you will be encouraged to build on your strengths and acquire new skills and experiences.
We are committed to fostering an environment of inclusion that promotes mutual respect among all employees. Understanding and valuing these differences optimizes the potential of both the individual and the firm.
HarbourVest is an equal opportunity employer.
This position will be a hybrid work arrangement, which translates to 2-3 days minimum per week in the office.
The lead data engineer will work toward the transformation of our firm’s data infrastructure, primarily using the Snowflake data environment, plus the Azure data stack as well.
The resource joining us will partner with product owners, data owners, project managers, business users, data engineers, and infrastructure engineers to form complete end-to end-solutions. The resource will enjoy working in an evolving, fast-paced environment, and bring a work style marked by high energy, flexibility, quick learning, and collaboration.
The ideal candidate is someone who has:
- Successful track record delivering on data-platform projects of significant scale and complexity, involving modern data platform implementations on Snowflake. 3 years of Snowflake-specific experience required.
- Expertise in developing, presenting, and implementing data models aligned with the needs of business applications
- Confidence and skill in building and communicating data-flow schematics understandable to both business and technical teams
- Perseverance, empathy, "give-and-take" attitude, and respect for the inputs and contributions of others
- Implement and support Snowflake-based data pipelines with source data originating in across a variety of technical environments
- Analyze business and technical requirements as basis for delivering sophisticated conceptual, logical, and physical data models
- Prepare data-flow schematics at multiple levels of detail, indicating the pros and cons of alternative design patterns
- Design and build data validations, transformations, normalizations, reports and extracts, and integration processes, using Snowflake, Dagster, and Azure data stacks
- Create and implement CI/CD pipelines
- Organize work and adhere to thorough work tracking, using Agile techniques
- Coordinate and contribute to the technical work of a team of 4-6 resources, including contractors
- Advanced SQL and Python knowledge
- Proficiency in Snowflake and Dagster, plus similar capabilities in Azure data environment
- In-depth experience with data modeling tools and knowledge of sophisticated data modeling techniques/approaches
- Highly collaborative attitudes and work style; welcoming the inputs of others
- Confidence and skill to document work items and explain deliverables, to enhance overall team productivity
- Capability to balance demands of scope, schedule, and budget
- Demonstrable experience as a technical leader
- Bachelor's degree
- 10-12 Years
