Sr. Data Platform Engineer

About the role

The Data and AI Platform Engineer will design, build, and operate our next-generation data and AI platform, enabling high-quality analytics, data science, and AI/ML capabilities at scale. Reporting to the Sr. Director, Data Platform and ML Operations, this role serves as a technical expert on Snowflake and AI infrastructure, with a strong focus on production-grade reliability and performance.

Responsibilities

• Design, build, and maintain scalable, secure, high-performing data and AI platforms using Snowflake and AI infrastructure components (e.g., feature stores, model registries, model serving endpoints)
• Own and optimize the Snowflake environment (warehouses, databases, schemas, roles, resource monitors) with a focus on performance tuning, cost optimization, and capacity planning for both data and AI workloads
• Stay current on Snowflake releases, the modern data stack, BI tooling, AI/ML, MLOps, and generative AI best practices and proactively recommend platform improvements
• Design, build, and operationalize AI capabilities in Snowflake using Snowflake Cortex and native Snowflake AI features to power governed, production-grade conversational, retrieval-augmented, and predictive applications
• Build and operate AI agents and workflows in Snowflake Cortex or similar platforms, integrating tools and context while optimizing prompt patterns to ensure reliable, high-quality LLM outcomes
• Contribute to and evolve the overall data, ML, and AI architecture (warehouse, lake/lakehouse, streaming, feature and vector stores, model serving, AI app layers) while establishing and enforcing best practices for data modeling, AI/ML pipeline development, code reviews, testing, deployment, and documentation across the stack
• Automate infrastructure and deployment using CI/CD and Infrastructure-as-Code for data pipelines, ML workflows, and AI/LLM services
• Implement robust monitoring, logging, and cost-management practices for AWS data and AI services to ensure platform reliability, security, and efficiency
• Collaborate with cloud, networking, security, compliance, and infrastructure teams to design resilient, scalable AWS architectures that integrate Snowflake, AI services, and downstream analytics/applications while implementing and maintaining strong data and AI governance (RBAC, masking, encryption, audit logging, responsible AI controls)
• Partner with data analysts, data scientists, ML/AI engineers, BI developers, and business stakeholders to translate data and AI requirements into scalable, secure technical solutions that deliver actionable insights and business value

Requirements

• Basic Bachelor’s or Master’s degree in Computer Science or a related field
• 8+ years with a Bachelor’s degree or 6+ years of relevant experience with a Master’s degree
• Experience as a Data Platform Engineer or ML/AI Engineer with significant hands-on work in Snowflake Administration
• Experience with SQL and at least one programming language commonly used in data and ML (Python)
• Experience designing, building, and operating orchestration infrastructure for data pipelines (e.g., Airflow or similar)
• Experience with core ML lifecycle concepts (data preparation, training, evaluation, deployment, monitoring) and how to support them with data and platform engineering
• Experience with cloud platforms (e.g., AWS, Azure) and Infrastructure-as-Code and CI/CD practices for data/ML workloads
• Experience working with at least one BI or analytics visualisation tool (e.g., Tableau, Hex, or similar)

Preferred

• Deep expertise with Snowflake performance tuning, resource management, and cost optimization for mixed analytics and AI workloads
• Strong communication and collaboration skills with the ability to work closely with technical and non-technical stakeholders
• Strong understanding of data governance and responsible AI principles, including data privacy, security, and model monitoring considerations
• Hands-on experience building and operating AI agents or agentic workflows using Snowflake Cortex or other agent frameworks and platforms
• Experience with Snowflake Cortex, including building and managing Cortex agents and leveraging the Snowflake semantic layer to enable AI-ready, governed analytics experiences
• Experience with prompt engineering, including designing, evaluating, and iterating on prompts for LLM-powered applications and workflows
• Experience partnering with data science and ML engineering teams to take models from experimentation to production at scale
• Experience implementing real-time or streaming data pipelines to power low-latency ML and AI use cases
• Practical experience with AWS data and analytics services (e.g., S3, MWAA/Airflow, Glue, Lambda, Step Functions, API Gateway) supporting large-scale data and AI workloads

Benefits

• Paid Time Off
• Paid Parental Leave
• Full Health Benefits Plans
• Retirement Plans
• Learning and Development
• Compassionate Care Leave

Pay

Based on a number of factors including geographic location, the pay range for this position is $146,400.00 - $235,375.00 base salary. This role is also eligible for a company bonus plan, which is calculated as a percentage of eligible wages and dependent on company performance. Additionally, this role is eligible to receive Restricted Stock Units (RSUs).

Schedule

This position is a Hybrid role, requiring a minimum of 2 days per week in-office work. Access to an office location is required.

Benefits

• Global benefits provide options for 100% employer-paid and minimum employee contribution health plans from day one of employment
• Retirement plans with potential for employer contributions
• Options for coaching, online courses, and education reimbursements
• Learning and development opportunities
• Paid time off, including paid company holidays
• Compassionate care leave for life-changing events

Equal Opportunity Employer

Docusign is an Equal Opportunity Employer and makes hiring decisions based on experience, skill, aptitude, and a can-do approach. We will not discriminate based on race, ethnicity, color, age, sex, religion, national origin, ancestry, pregnancy, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, registered domestic partner status, caregiver status, marital status, veteran or military status, or any other legally protected category. EEO Know Your Rights poster