Senior Associate – Data Engineer (Data Business CoE)
Description & Requirements
About us
Bain & Company is a global management consulting that helps the world’s most ambitious change makers define the future. Across 65 offices in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry.
In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi. The BCC is now known as BCN (Bain Capability Network) with its nodes across various geographies. BCN is an integral and largest unit of (ECD) Expert Client Delivery. ECD plays a critical role as it adds value to Bain's case teams globally by supporting them with analytics and research solutioning across all industries, specific domains for corporate cases, client development, private equity diligence or Bain intellectual property. The BCN comprises of Consulting Services, Knowledge Services and Shared Services.
Who you will work with
Data Business COE supports Bain case teams, practices, and productized solutions by building scalable data engineering assets, robust pipelines, and fit-for-purpose data products that enable advanced analytics and business decision making. The Senior Associate will play a project lead role, partnering with stakeholders across Bain to manage end-to-end delivery of data engineering workstreams and ensure high-quality, scalable, and reliable data solutions. The role also includes ownership of project planning, resource management, stakeholder communication, and quality assurance to ensure timely delivery of high-impact work. The individual will contribute to building reusable capabilities and best practices within the Data Business COE.
What you’ll do
- Lead the design, implementation, and continuous enhancement of data pipelines by performing extraction, transformation, and loading activities across multiple data sources.
- Own project delivery across workstreams, managing timelines, quality, risks, and stakeholder expectations to deliver high-quality, zero-defect output.
- Gather business requirements and process knowledge, and translate them into scalable data models, transformations, and outputs aligned to end-user needs.
- Provide technical guidance and day-to-day support to junior team members; help allocate work effectively across resources to maximize team productivity.
- Drive reusable capability building by creating assets, frameworks, and standards that can be leveraged across teams and service lines.
- Write and optimize SQL-based transformations and data engineering workflows across platforms such as Snowflake and Databricks; working knowledge of AWS is preferred.
- Ensure that the data architecture, pipelines, and workflows are scalable, maintainable, and aligned with data warehousing best practices.
- Partner with business stakeholders to design and deliver accurate, high-quality data solutions and actionable outputs.
- Investigate data issues within ETL pipelines, identify root causes, communicate implications to stakeholders, and propose effective solutions.
- Prepare clear technical and process documentation for ongoing maintenance, knowledge transfer, and future reference.
- Manage communication with onshore teams and stakeholders regarding project progress, data quality, and key insights.
- Support project planning and resource management, including prioritization, work allocation, and tracking progress across concurrent initiatives.
- Contribute to scalable product and capability development by ensuring pipelines and data solutions are automated, efficient, and built for repeatable use.
About you
- 5-8 years of experience in Data Engineering, Data Management, Business Intelligence, or Business Analytics, with strong hands-on experience in SQL, data warehousing, and ETL workstreams. Prior experience leading projects or mentoring team members is preferred.
- Advanced SQL knowledge (complex queries, stored procedures, performance tuning, optimization, etc.).
- Strong understanding of ETL concepts, data warehousing principles, and relational database architecture.
- Hands-on experience with modern data platforms such as Snowflake and/or Databricks; familiarity with Starburst is an added advantage.
- Working knowledge of cloud technologies, preferably AWS.
- Strong understanding of data modeling, schema design, and scalable data pipeline architecture.
What makes us a great place to work
We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor’s Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents.