Bain Capital Senior Data Engineer

With approximately $185 billion of assets under management, Bain Capital is one of the worlds leading private investment firms. We create lasting impact for our investors, teams, businesses, and the communities in which we live. Over four decades we have strategically grown our platform to focus on Private Equity, Growth & Venture, Capital Solutions, Credit & Capital Markets, and Real Assets. Today, our team includes 1,880+ employees in 24 offices on four continents.

We partner differently to help people and companies embrace possibility and realize potential. Founded as a private partnership in 1984, we have fostered a culture of innovation, entrepreneurialism, and agility, empowering our people to define and own their career trajectories. Today, our partnership approach enables us to pursue strategic growth, build enduring relationships with a robust external network, and collaborate across our integrated platform to connect the deep and diverse expertise that unlocks breakthrough insights.

Our people are the heart of our advantage. Colleagues at all levels have a seat at the table as they tackle business challenges with a principal investor mindset. By asking incisive questions, respectfully challenging one another, and remaining intellectually agile, we work together to achieve exceptional outcomes.

We are looking for a skilled and experienced hands-on Senior Data Engineer to join the technology team, focusing on data governance and data quality initiatives. The firm sees data as a valuable strategic asset and data management capabilities as key differentiators for sustained business success. The successful candidate will partner with the Data Management function and be responsible for implementing tools, frameworks & data quality checks to improve the reliability, discoverability, efficiency, and quality of data across the organization.

This role is for someone who is passionate about data and understands the discipline and commitment required to improve and sustain data quality across a complex business domain. Its a great opportunity to work with the latest cloud technologies and data management frameworks.

Your mandate will entail the creation, implementation, and vigilant oversight of data governance frameworks this includes data catalogs, data lineage, and data quality as the core pillars. You will be responsible for onboarding data products and the firms data assets to the data governance platform, and maintaining and keeping them updated. You will work with the data team and application engineers to identify and implement source system checks & process improvements where needed.

Responsibilities Include

• Develop, implement, and maintain enterprise-wide data governance technologies, with a focus on improving data quality, data lineage and data discoverability.
• Implement data-related standards, policies, procedures, and architectures in alignment with Central Data Governance team's strategic objectives.
• Implement technology tools and frameworks for tracking data quality, using key data quality metrics defined by Central Data Governance team in conjunction with data domain owners.
• Design and implement data quality (DQ) rules to be integrated into DQ framework.
• Creation of checks in source systems and data pipelines to ensure data quality and clean data flow.
• Implement technology solutions to define and track key performance indicators for data quality, data governance processes, and tools to report on them in an automated manner.
• Provide necessary tooling and systems support to the data team as they perform data governance activities
• Work with various data team and various application teams as needed to evaluate, redesign, and reimplement data and process flows as needed.

Technology Experience

• Minimum of 5 years of hands-on cloud experience (including 2+ years AWS experience)
• Experience with programming languages such as Python with a focus on data engineering related tools.
• Minimum of 5 years of experience with SQL (Snowflake, MSSQL or similar)
• Prior experience building/maintaining reports/dashboards (PowerBI preferred)
• Prior experience with DBT is a plus
• Hands-on experience building and optimizing 'big data' pipelines, architectures, and data sets is a plus

Qualifications

• Bachelor's Degree in Computer Science, Information Systems, or related field.
• 5+ years of technical leadership experience in data engineering or software engineering
• Motivated self-starter capable of working in a fast-paced, dynamic and cross-functional environment, where multiple conflicting objectives need to be prioritized and achieved
• Proven experience building and executing technical project plans, defining the scope of work, driving code quality / scrum processes and providing meaningful code reviews.
• Takes ownership and pride in end-to-end delivery of projects and initiatives eager to continue learning and excited to tackle complex problems
• Reliable and collaborative team member with experience mentoring and growing team members technically.
• Strong analytical skills, attention to detail, and a problem-solving mindset essential for handling complex data sets.
• Exceptional interpersonal skills with the ability to communicate complex technical concepts to non-technical stakeholders effectively.
• Prior experience in Finance and Asset management domain is a plus but not required.