Job
Description
What youll do Docusign is seeking a talented and results-oriented Director, Data Engineering to lead and grow the Bengaluru hub of our Global Data & Analytics Organisation. 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 a people manager role reporting to the Senior Director, Global Data & Analytics. 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 Operationalise 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 positions 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 Advanced SQL and Python programming skills 12+ years in data engineering with demonstrable success in an enterprise environment 5+ years of experience as a people manager. Comfortable 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 prioritisation 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 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. for assistance. Applicant and Candidate Privacy Notice #LI-Hybrid #LI-SA4 ","qualifications":" Basic B.E./B.Tech. or M.S. in Computer Science, Data, or related quantitative field Advanced SQL and Python programming skills 12+ years in data engineering with demonstrable success in an enterprise environment 5+ years of experience as a people manager. Comfortable 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 prioritisation 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 technique
