Director, Data Engineering

HarbourVest Partners; Boston (MA); Ibrido; USD 220.000 - 230.000; Tempo pieno

Descrizione del lavoro

HarbourVest Partners is seeking a Lead Data Engineer to fully manage and deliver our private equity data platform. This hands-on leadership role requires guiding software projects to production, with extensive experience in private equity data and an entrepreneurial approach.

You will build scalable data systems that support investment and portfolio decision-making, mentor teams, and collaborate across Data, DevOps, and Applications groups to improve CI/CD and data quality.

Competenze

• 8+ years of data engineering and software delivery experience.
• 3-5 years of technical project leadership.
• Experience delivering data and applications to a wide audience.
• Proven ability to lead data engineering and analytics teams.

Mansioni

• Lead on features, design, code, run and maintain pipelines and tests.
• Mentor team members on data engineering guidelines and processes.
• Collaborate with Data, DevOps and Applications teams to integrate CI/CD testing.
• Involved in testing and deploying internal data quality applications.
• Deliver data warehouse pipelines and modeling.

Conoscenze

Team leadership

Mentoring

FinTech data

SQL

Python

DBT

Azure Data Factory

Synapse

Snowflake

Agile

BI Analytics

Formazione

Bachelor of Science in a related field

Master of Science in a related field

Strumenti

DBT

Azure Data Factory

MS Synapse

Snowflake

Descrizione del lavoro

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. You will receive 18 remote workdays per quarter to use at your discretion, subject to manager approval. For example, you may choose to work in the office 4 days per week and take one remote day weekly (typically 13 weeks per quarter), leaving 5 additional remote days to be used as needed.

Our Quantitative Investment Science group is seeking a Lead Data Engineer to fully manage and deliver our private equity data platform. This hands-on leadership role requires a proven history of guiding software projects to successful production. You should have extensive experience with private equity financial data and an entrepreneurial approach. You will build scalable data systems that directly support investment, fund, and portfolio decision-making.

The ideal candidate is someone who is:

• A self-starter with a love for technology, software application delivery, and mathematical applications!

• Excellent interpersonal and team collaboration capabilities

• Strong analytical, organizational, and problem-solving skills coupled with outstanding attention to detail

• A passion for finance and financial markets!

• A track record of successful SaaS software delivery
  

What you will do:

• Take ownership and lead on features and functionality, design, code, run and maintain pipelines, transformations, views, test suites for applications and data validation purposes

• Mentor team members on software and data engineer guidelines and processes

• Lead work with Data, DevOps and Application development teams on integrating automated testing with CI/CD processes

• Involved in testing and deploying internal data quality applications

• Implement and delivery data quality pipeline frameworks

• Implement and deliver data warehouse pipelines and modeling
  

What you bring:

• Demonstrated ability Leading Data Engineering and Analysis teams

• Experience mentoring engineers on standard methodologies and establish guidelines while remaining hands-on

• Proven experience with data-centric testing and deployment of FinTech based applications, data analysis, data pipelines and ETL for large datasets

• Proficiency in MSSQL or equivalent SQL RDBMS

• Proficiency in Python

• Experience with DBT and Azure Data Factory and Pipelines

• Experience with MS Synapse and Snowflake desired

• Familiarity working in a scrum/agile SDLC environment

• Preferred but not vital: Business Intelligence and Analytics application experience

• Experience delivering software applications and data to a wide audience
  

Education Preferred

• Bachelor of Science (B.S) or equivalent experience

• Master of Science (M.S) or equivalent experience

Experience

• 8+ Years of Data Engineering and software delivery experience preferred

• 3-5 Years of Technical Project Leadership experience

• Partner directly with investment, finance, and operations teams
  

#LI-Hybrid

Base Salary Range

$220,000.00 - $230,000.00

This USD base salary range represents only one component of total compensation for this role and is provided in accordance with local requirements. This role is eligible for a discretionary annual bonus, which is determined based on individual and overall firm performance. In addition to salary and bonus, total compensation may include eligibility for long-term reward programs and a comprehensive total rewards package that may include retirement, health, insurance, paid time off, and wellness programs. Our total rewards offerings are influenced by several business factors, and eligibility for certain components will vary by position and geography. Please note the posted ranges do not apply outside the U.S. and should not be converted to other currencies as a proxy for compensation in other countries.