Lead Data Engineer

Company Overview

Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people’s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign’s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).

What you'll do

Docusign is seeking a talented and results-oriented Lead Data Engineer to lead and grow the Bengaluru hub of our Global Data & Analytics Organization. Your mission is to build the modern, trusted data foundation that powers Enterprise analytics, internal decision-making, and customer-facing insights. As a key leader, you will partner closely with Engineering, Product, GTM, Finance, and Customer Success to set the data strategy for Docusign India, focusing on data architecture, enterprise data foundation and data ingestion. During a typical day, you will drive the development of governed data products, operationalize quality and observability, and lead a high-performing team of data engineers and architects. The ideal candidate will demonstrate strong leadership, a passion for innovation in AI & data technologies, and the drive to achieve five-nines reliability for our data platforms.

This position is an individual contributor role reporting to the Director, Data Engineering.

Responsibility

• Own Snowflake architecture, performance and cost governance; define modelling standards (star, data vault, or ELT-first) and enforce security/RBAC best practices
• Scale our DBT codebase—design project structure, modular macros, end-to-end CI/CD and automated testing so every pull-request ships with quality gates and lineage metadata
• Drive ingestion excellence via Fivetran (50 + connectors today, growing fast)
• Establish SLAs for freshness, completeness and incident response
• Embed with business stakeholders (Finance, Sales Ops, Product, Legal & Compliance) to translate ambiguous questions into governed data products and trusted KPIs—especially SaaS ARR, churn, agreement throughput and IAM adoption metrics
• Lead and inspire a high-performing team of data engineers and architects; hire, coach, set OKRs
• Operationalize quality and observability using DBT tests, Great Expectations, lineage graphs and alerting so we achieve “five-nines” reliability
• Partner on AI initiatives—deliver well-modelled features to data scientists
• Evaluate semantic layers, data contracts and cost-optimisation techniques
  
  

Job Designation

Hybrid: Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)

Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law.

What you bring

Basic

• B.E./B.Tech. or M.S. in Computer Science, Data, or related quantitative field
• SQL and Python programming experience
• 12+ years in data engineering with demonstrable success in an enterprise environment
• 5+ years of experience as a people manager.
• Experience with Git-based DevOps
  
  

Preferred

• Expert in Snowflake, DBT (production CI/CD, macros, tests) and Fivetran (setup, monitoring, log-based replication)
• Proven ability to model SaaS business processes—ARR/ACV, funnel, usage, billing, marketing, security and compliance
• Track record building inclusive, global distributed teams
• Adept at executive communication and prioritization
• Experience operationalizing data quality and observability using tools like DBT tests, data lineage, and alerting
• Experience partnering on AI initiatives and delivering features for data scientists
• Experience evaluating and implementing semantic layers, data contracts, and cost optimization techniques
• Experience in the financial domain, sales and marketing, accounts payable, accounts receivable, invoicing
• Experience managing work assignments using tools like Jira and Confluence
• Experience with Scrum/Agile methodologies
• Ability to work independently and as part of a team
• Excellent analytical and problem solving and communication skills
  
  

Life at Docusign

Working here

Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what’s right, every day. At Docusign, everything is equal.

We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you’ll be loved by us, our customers, and the world in which we live.

Accommodation

Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at accommodations@docusign.com.

If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at taops@docusign.com for assistance.

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