Sr. Data and Automation Engineer, Enterprise Applications
Overview
Build the data products and automation that help critical business teams make faster, more informed decisions. As a hands-on Senior Data and Automation Engineer, you will connect enterprise applications across Finance, Human Resources, Procurement, Legal, Compliance, and Commercial Operations using Databricks, Snowflake, and related analytics platforms.
You will work independently with business stakeholders to transform complex requirements into trusted, governed datasets, reliable integrations, actionable dashboards, and scalable automation. This six-month engagement is focused on delivering documented data products and sustainable solutions that long-term support teams can confidently maintain.
What You’ll Deliver
- Curated, documented data products supporting use cases such as expense management, learning analytics, gross-to-net reporting, budgeting, and operational reporting.
- Reliable pipelines and integrations connecting enterprise applications and third-party sources to governed datasets.
- Dashboards, metrics, and reporting products for broad General and Administrative (G&A) functions.
- Data quality checks, definitions, documentation, and standards that make enterprise data accessible and trustworthy.
- Automation and integration solutions—or clearly defined roadmaps—to reduce manual data preparation, reconciliation, reporting, and workflow handoffs.
- Handoff documentation and support-ready solutions designed to remain adaptable as enterprise systems evolve.
Key Responsibilities
- Lead the design and delivery of curated data products across Databricks, Snowflake, and related platforms.
- Develop ingestion, transformation, data quality, and reusable data modeling solutions.
- Partner with G&A business owners to define analytics requirements, key performance indicators, data definitions, and priority use cases.
- Build pipelines and integrations using APIs, flat files, middleware, Fivetran or similar ingestion tools, and third-party data sources.
- Create dashboards, metrics layers, and insight products for functions including Finance, Human Resources, Procurement, Legal, Compliance, and Commercial Operations.
- Establish standards for data naming, lineage, documentation, access controls, data quality, and long-term support handoff.
- Identify and deliver automation opportunities using Workato, Moveworks, middleware, or similar platforms.
- Evaluate and responsibly apply artificial intelligence tools to simplify processes, improve data stewardship, and accelerate analytics delivery.
- Collaborate with Information Security, Compliance, Legal, and data owners to protect sensitive information and align with privacy, governance, and access requirements.
- Translate ambiguous business needs into clear technical requirements, delivery plans, and measurable outcomes.
Required Skills and Qualifications
- Hands-on experience with:
- Databricks
- Snowflake
- SQL
- Python or PySpark
- Delta Lake
- Fivetran or similar data ingestion tools
- Modern data lakehouse or data warehouse patterns
- Experience designing curated datasets, semantic models, data quality rules, and documentation for business users.
- Experience integrating enterprise data through APIs, flat files, middleware, or integration platform as a service (iPaaS) tools.
- Experience with reporting platforms and reverse extract, transform, load (reverse ETL) or data activation patterns.
- Familiarity with G&A processes and systems, including NetSuite, Coupa, Concur, Workday Adaptive, Ironclad, Emtrain, ComplianceWire, or similar platforms supporting Finance, Procurement, Human Resources, Legal, learning, compliance, or planning functions.
- Experience using Workato, Moveworks, middleware, iPaaS, or comparable automation and integration platforms.
- Ability to convert complex or ambiguous business needs into practical technical requirements and delivery plans.
- Ability to work independently in a fast-paced environment while collaborating with business, technology, compliance, and security partners.
Nice-to-Have Skills
- Experience with ERP platforms beyond NetSuite.
- Experience supporting system migrations or re-pointing integrations and data pipelines as applications change.
- Experience in biotechnology, pharmaceuticals, life sciences, or another regulated environment.
- Experience delivering analytics across multiple G&A functions, including expense management, learning, and workforce metrics.
- Experience with Unity Catalog, Snowflake governance, workflow orchestration, data lineage, data governance, or access management.
- Experience applying artificial intelligence, machine learning, or generative AI to analytics workflows, automation, knowledge retrieval, or operational process improvement.
Preferred Education and Experience
- Bachelor’s degree in Data Engineering, Computer Science, Information Systems, Business Analytics, or a related discipline.
- Equivalent practical experience may be considered.
- At least 5 years of relevant experience in data engineering, analytics engineering, enterprise analytics, business systems, integration, automation, or data product delivery.
Other Requirements
- Work arrangement: Hybrid in Redwood City, California.
- Engagement: Six-month contract with potential to convert.
- Employment type: W2 only.
- Start: ASAP.
- Ability to work with sensitive enterprise data in alignment with applicable privacy, governance, security, and access requirements.
