Staff I Data Engineer - CORO Products

Role overview

Staff I Data Engineer - CORO Products at Bain & Company

Responsibilities

• You will take the lead on the most complex engineering problems, write the documentation others build from, and are the person junior engineers turn to when they're stuck.
• Author technical design documents, translate business requirements into engineering specifications, and lead the development team through execution.
• Lead technical discovery, POCs, and innovation work streams to validate new tools, architectures, and approaches.
• Collaborate with Bain's cloud and infrastructure team to refine processes, tooling, and operational approaches.
• Drive visible CI/CD flow improvements with measurable impact on time to market, quality, cost, and uptime.

Employment details

• Location: New Delhi [India]

Application details

• Support team in recruiting activities including resume review and technical interviews.

Additional role details

• CVs must be submitted in English to be considered 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.
• We are currently the top ranked consulting firm on Glassdoor's Best Places to Work list and have earned the #1 overall spot a record seven times.
• Extraordinary teams are at the heart of our business strategy, but these don't happen by chance.
• They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment.
• We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.
• WHO YOU'LL WORK WITH Bain's Next Generation Software Solutions (NGSS) team is responsible for discovering, building, scaling, supporting, and maintaining software products that enable Bain's intellectual property and consulting solutions.
• Within this broader team, you'll be embedded in Coro, Bain's proprietary B2B go-to-market software suite .
• Coro delivers AI-accelerated data, analytics, and GTM tools — including MoneyMap, ProfitCube, Partner Sonar, and Coro Assist — that help revenue organizations identify opportunities, align commercial teams, and drive profitable growth at scale.
• WHERE YOU'LL FIT WITHIN THE TEAM As a Staff Data Engineer, you are the most senior individual contributor on Coro's data platform.
• You own the full lifecycle of the work, from translating business requirements into technical designs, through hands-on development, all the way to deployment and ongoing operations.
• This is not a management role; it's the highest expression of craft and ownership on the engineering team that will include mentoring and peer leadership of junior engineers.
• WHAT YOU'LL DO Engineering & Solution Delivery (60%) Define technical architecture for Coro's data platform, working with Senior Architects and Engineering Managers to validate designs, discuss trade-offs, and ensure long-term scalability and performance as the product grows.
• Ensure data models adhere to best practices in security, normalization, naming conventions, primary/foreign key relationships, indexing, and constraints.
• Personally lead development of the most complex platform components while supporting teammates on advanced challenges.
• Provide 3rd-level technical support and own resolution of major incidents, driving post-incident improvements.
• Direct code deployments and maintain oversight of CI/CD pipelines, release management, and operational reliability.
• Technical Leadership & Continuous Improvement (40%) Drive innovation across the team — identify emerging technologies, lead knowledge sharing, and champion engineering excellence.
• Mentor junior and senior engineers, establishing a culture of high standards, continuous learning, and shared ownership.
• Advise on opportunities to continuously improve speed, accuracy, repeatability, and maintainability through automation and tooling.
• ABOUT YOU Experience 5–8+ years of experience in the following areas: Serving in a senior technical leadership role, architecting and operationalizing scalable cloud-based data platforms or software products.
• Designing and building highly scalable Python-based data systems used in production by multiple teams or external clients.
• Leading, mentoring, and growing teams of engineers across multiple products or work streams.
• Partnering with senior stakeholders to advise on technical options given time, cost, and resource constraints.
• Building and operating ETL/ELT pipelines at enterprise scale.
• Python data tooling: pandas, Polars, PyArrow, DuckDB, or PySpark.
• Workflow orchestration in code: Airflow, Dagster, Prefect, dbt, or Temporal.
• Cloud data platforms: Snowflake, Databricks, BigQuery, or Redshift.
• Multiple public clouds (AWS, Azure, GCP) and their Python SDKs.
• Infrastructure as code and automation: Terraform, GitHub Actions, and CI/CD pipeline design.
• Education Bachelor's degree or an equivalent combination of education, training, and experience.
• Knowledge, Skills & Abilities Deep Python expertise across the full breadth of the language: typing, concurrency, performance profiling, packaging, and the standard library.
• Software architecture fundamentals: system design, API contracts, modular decomposition, and scalability patterns.
• Strong SQL, data modeling, governance, and privacy practices; ability to design and validate sound schemas at scale.
• Able to communicate architecture and technical trade-offs to executive, business, and engineering audiences alike.
• Demonstrated ability to mentor engineers and build engineering culture, not just deliver code.
• Results-driven and entrepreneurial; able to navigate ambiguity and align teams around a clear technical direction.
• Additional Qualifications Streaming: Kafka, Kinesis, or Spark Structured Streaming.
• Docker, Kubernetes, and cloud-native architecture.
• Architecture cost optimization and cloud resource management.
• A second language: Go, Rust, Scala, or TypeScript.
• Generative AI, machine learning, or data science tooling.
• Experience with service management and Agile tools (Azure DevOps, JIRA, or similar).