Senior Analytics Engineer, DataHub
More information about location
Metadata management platform
Job no longer available
Metadata management platform
101-200 employees
Job no longer available
More information about location
101-200 employees
Company mission
To bring clarity to data through a next generation multi-cloud metadata management platform.
Role
Who you are
- 5+ years of experience in analytics engineering or similar technical roles
- Deep expertise in data modeling design and implementation, with proven ability to architect complex data models from scratch
- Extensive experience setting up and optimizing data warehouses and transformation layers
- Expert-level SQL skills and advanced knowledge of data modeling techniques (dimensional modeling, data vault)
- Strong proficiency with dbt (data build tool) and modern data warehouse platforms (Snowflake, BigQuery, or Redshift)
- Demonstrated ability to work effectively in fast-paced, ambiguous environments
- Experience working directly with business stakeholders to gather requirements and provide solutions
- Track record of building production-grade data pipelines from the ground up
- Strong Python programming skills for data manipulation and automation
- Bachelor's degree in Computer Science, Engineering, Mathematics, or related field
- Comfortable with ambiguity and able to create structure in undefined situations
- Self-directed and able to prioritize high-impact work with minimal guidance
- Experience working in fast-paced environments
- Strong communication skills with the ability to translate between technical and business contexts
- Proactive problem-solver who can anticipate future needs and scale considerations
- Enthusiasm for building things from scratch and establishing best practices
- Experience with data visualization tools (Looker, Tableau, Power BI, Hex, or similar)
Desirable
- Experience working with data catalogs (DataHub is a huge plus!)
- Previous experience as a first/early data hire at a startup
- Knowledge of data governance and security best practices
- Track record of implementing data quality frameworks
- Contributing to open-source projects or data communities
What the job involves
- As the Senior Analytics Engineer, you'll architect our entire data stack, establish data modeling frameworks, and build reliable data pipelines that will serve as the backbone of both our internal analytics and customer-facing data products
- You'll work directly with our leadership team to drive product analytics initiatives and create scalable data resources that deliver value to our customers
- Design and implement our company's first data warehouse architecture and modeling framework with a focus on product usage analytics, user behavior patterns, and engagement metrics
- Establish best practices for data modeling, testing, and documentation that will scale with our growth
- Build and maintain our initial suite of data models and ETL pipelines using modern data stack technologies
- Create foundational data documentation and governance standards
- Partner directly with leadership to understand business requirements and translate them into technical solutions
- Drive data literacy across the organization through education and enablement
Our take
Due to the increasing amount of diverse data types, companies face challenges in organising and analysing their stored data. This means data teams are overwhelmed as they accommodate data requests from within the company while striving to ensure consistent data policies are maintained.
One company tackling these data challenges is DataHub - formerly Acryl Data - a California-based startup that operates the DataHub Project, an open-source data catalogue. Alongside its data catalogue, the company offers a solution for data governance and observability. This managed service, DataHub Cloud, builds upon the open-source capabilities of the DataHub Project, introducing features that streamline the operational management of information.
Major companies such as Stripe and Pinterest already utilise DataHub, while Notion and Zendesk rely on its cloud service as their data management solution. This success has attracted the support of numerous investors, having raised an impressive $35 million in 2025. DataHub is now focused on expanding its R&D efforts, scaling its operations and further expanding its open-source community base.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (2 rounds)
May 2025
$35m
SERIES B
Jun 2023
$21m
SERIES A
Total funding: $56m
Company benefits
- Equity
- Medical, dental, and vision insurance
- Carrot Fertility Program
- Parental leave
- Remote friendly
- Work from home and monthly co-working space budget
Company HQ
Ventura, Palo Alto, CA
Leadership
Swaroop Jagadish
(Co-Founder & CEO)Graduated from UC Santa Barbara with a M.S. in Computer Science. Previously worked as a Software Engineer at Yahoo!, LinkedIn and Airbnb.
Shirshanka Das
(Co-Founder & CTO)Graduated from UCLA with a Ph.D. in Computer Science. Previously worked as a Senior Software Engineer/Application Architect at Paypal, as a Principal Technical at Yahoo! and as a Senior then Principal Software Engineer at LinkedIn.
John Joyce
(Co-Founder & Product & Engineering)Graduated from the University of Notre Dame with a B.S. in Computer Engineering. Experienced Software Engineer having previously worked at Joyce & Bittner, SwoopIn, Visa, Cameo, and LinkedIn. Also co-founded SquadSnap and Float Tickets.
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