Cornerstone Research

Principal Data Engineer

Cornerstone Research  •  Pune, IN (Onsite)  •  4 hours ago
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Job Description

We're looking for a

Principal Data Engineer

This role is Office Based, Pune Office

Principal Data Engineer

We’re looking for a Principal Data Engineer in Pune or Hyderabad who wants to do work that actually matters. You’ll join a growing, high-ownership team modernizing how an enterprise makes decisions — replacing legacy reports with a modern AI + analytics stack built on Snowflake, dbt, Matillion, and Salesforce Agentforce. You’ll have direct visibility with executive leadership and the autonomy to shape how data flows across the company.

This isn’t a “ticket-taker” role. We need someone who can hit the ground running — someone who’s already done this work, knows what good looks like, and doesn’t need a ramp-up period to start delivering. You’ll own entire data domains end-to-end — from source system ingestion through transformation to the analytics layer. You’ll be the person who understands the business well enough to ask the right questions and the data well enough to build the right answers. We want someone who brings ideas to the table, not just executes what’s handed to them. If you’re the type who reads release notes for fun, proposes better ways to do things in standup, and takes pride in pipelines that just work — keep reading.

In this role you will…

  • Design and build performant data models (facts, dimensions, data-marts) in Snowflake to support business functions across the enterprise.
  • Own your domain end-to-end: understand source systems deeply, transform messy data into clean and trusted models, and make sure downstream consumers get what they need.
  • Write complex SQL daily to explore data, validate assumptions, reconcile sources, and solve problems that don’t have obvious answers.
  • Partner directly with business stakeholders, product managers, and analysts to turn ambiguous asks into clear requirements, defined KPIs, and prioritized roadmaps.
  • Troubleshoot data and pipeline issues with urgency, trace them to root cause, and own the fix through to production.
  • Communicate progress, blockers, risks, and tradeoffs crisply to both technical and non-technical audiences.
  • Mentor other engineers through code reviews, pattern sharing, and raising the quality bar for the team.
  • Train business teams on self-service so they can answer their own questions without filing a ticket.

You have what it takes if you have…

  • You write window functions, recursive CTEs, and performance-tuned queries without looking things up, and you have the instinct to know when output looks wrong.
  • You have a strong foundation in dimensional modeling, slowly changing dimensions, ELT architecture, grain, and conformed dimensions.
  • You’ve done this before and can orient yourself in a new codebase, understand a new domain, and start contributing meaningful work in your first weeks.
  • You’re in the code every day building models and debugging pipelines, not delegating the hard parts.
  • You identify gaps and propose solutions before anyone asks you to, and you make the team better by bringing ideas, not just completing tasks.
  • You notice when row counts shift by 0.3% and you want to know why.
  • You keep up with new platform features, try new tools, and read documentation because you genuinely enjoy getting better at your craft.
  • Bachelor’s in Computer Science, Engineering, or related field (MBA is a plus but not required).

Extra dose of awesome if you have…

  • Experience with Snowflake data modeling, performance tuning, or Cortex AI features.
  • Hands-on dbt experience including models, tests, snapshots, and incremental strategies.
  • Familiarity with orchestration tools like Apache Airflow or Matillion.
  • Python skills for data scripting, automation, or light ML work.
  • Experience with Fivetran or similar ingestion platforms.
  • Knowledge of CRM data (leads, opportunities, quotes, campaigns) or ERP data (GL, AP, AR).
  • SnowPro Core or SnowPro Advanced Data Engineer certification.
  • Exposure to data science, advanced analytics, or AI/ML workflows.
  • AWS cloud experience.

#LI-Onsite

Our Culture:

Spark Greatness. Shatter Boundaries. Share Success. Are you ready? Because here, right now – is where the future of work is happening. Where curious disruptors and change innovators like you are helping communities and customers enable everyone – anywhere – to learn, grow and advance. To be better tomorrow than they are today.

Who We Are:

Cornerstone powers the potential of organizations and their people to thrive in a changing world. Cornerstone Galaxy, the complete AI-powered workforce agility platform, meets organizations where they are. With Galaxy, organizations can identify skills gaps and development opportunities, retain and engage top talent, and provide multimodal learning experiences to meet the diverse needs of the modern workforce. More than 7,000 organizations and 100 million+ users in 180+ countries and in nearly 50 languages use Cornerstone Galaxy to build high-performing, future-ready organizations and people today.

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Cornerstone Research

About Cornerstone Research

At Cornerstone Research, we attribute our success to a unique combination of resources: a creative and energetic staff, cutting-edge technology and research, and our work with academic and industry experts. Our consultants use innovative problem-solving approaches and achieve unparalleled analytic depth. Working with faculty experts from leading business schools, economics departments, and law schools keeps us at the forefront of academic research, while industry experts share their practical experience and business acumen. Our culture of growth and collegiality provides a dynamic work environment. Our team-based approach to casework emphasizes a combination of collaboration and individual initiative. This approach offers our employees the opportunity to work with and learn from professionals at all levels of the firm as well as from a network of leading academic and industry experts.

Industry
Consulting & Advisory
Company Size
1,001-5,000 employees
Headquarters
San Francisco, CA
Year Founded
1989
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