Technical Solutions Engineer, Nextdata
+ Equity
Operating system for decentralised data
Open for applications
Operating system for decentralised data
21-100 employees
Open for applications
+ Equity
21-100 employees
Company mission
To make the experience of creating, sharing, discovering, and using data connected, fast and fair.
Role
Who you are
- If you have a strong background in data engineering, enjoy working closely with customers, and are excited about the data mesh movement, this is the role for you!
- Experience: 7+ years as a Data Engineer, Solutions Engineer, or Solutions Architect with experience in customer engagement
- Data Modeling and Dashboard Development: Proficient in data modeling and creating dashboards using tools like Looker, Power BI, etc., for demonstration purposes
- CI/CD Expertise: Experience with continuous integration and deployment to reduce software lead time, contributing to optimizing build and release processes
- Programming Skills: Proficient in Python and/or other programming languages; comfortable with quick prototyping
- Data Pipeline Development: Experience with data processing pipeline development; proficiency in tools like Airflow, Dagster, Prefect, dbt, and ML environments like PySpark and Pandas
- Cloud Infrastructure Knowledge: Experience with Kubernetes (K8s), Google Cloud, AWS, Azure
- Complex Data Pipelines: Experience working on complex data pipelines in large data organizations
- Data Application Passion: Curiosity, passion, and experience in applying data in machine learning and analytics applications
Desirable
- Data Mesh Understanding: Familiarity with data mesh concepts and implementations
- Open Source Contributions: Experience contributing to big data/analytics open-source projects or internal data infrastructure products
- End-to-End Solutions: Proven ability to take undefined business problems and build end-to-end data solutions for various stakeholders and clients
- Analytical Communication: Ability to quantify the value of analyses, articulate, and present findings in a compelling manner
- Test-First Development: Demonstrated commitment to test-first data pipeline development
What the job involves
- We're seeking a talented Solutions Engineer to join our team
- Create Data Products on Nextdata OS: Actively build solutions on top of Nextdata OS, translating customer business needs into Proof of Concept (PoC) data products
- Collaborate with Customers: Work with our initial customers to understand their business requirements and develop data products that address their needs
- Deeply Embed with Customers: Support some of our largest customers in the successful adoption of data mesh, guiding them through the entire journey from data integration to infrastructure optimization
- Leverage Full Analytics Lifecycle: Utilize your experience in translating business requirements into data models, data pipelines, analytics dashboards, and machine learning pipelines to build comprehensive data products
- Provide Feedback for Improvement: Offer insights to help us enhance Nextdata OS and our tooling based on your hands-on experience
- Manage PoC Lifecycle: Oversee the full lifecycle of PoC data products, from ideation around business use cases to successful deployment, including synthesizing realistic data for testing before production deployment
- Contribute to Team Growth: Play a key role as we build the Solutions Engineering team, shaping its direction and success
Our take
An increasingly popular software architecture is data mesh, a type of data platform that implements domain-oriented and self-serve designs. These types of platforms make it easier for companies to create, share, and connect their data to decentralize the information they use, all without having to transfer data to centralized repositories or lakes.
That said, many companies that wish to implement data mesh trip up from the get-go, often being too dependent on centralized data governance and lacking the specialists to fully benefit from it. Nextdata is a data-mesh-native platform that customers can use to build and share data products, making it easier for more businesses to benefit from the architecture.
The company is up against large and mature competitors, such as Databricks and Snowflake, but claims to stand out thanks to its product-first ethos. The platform was also built specifically for data sharing concerning AI and machine learning, which makes it scaleable and future-proof in a crowded market. Nextdata has secured strong seed funding to help grow its team and operations.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (1 round)
Sep 2023
$12m
SEED
Total funding: $12m
Company benefits
- Home office stipend ($2,000 for your home workspace setup)
- Company laptop
- Premium health, vision, and dental insurance coverage
- Regular in-person meetings in California
- Plus or minus 3 hours from Pacific time is welcome
- Craft, teamwork, flexibility, and accountability
Company HQ
SoMa, San Francisco, CA
Leadership
Zhamak Dehgani
(CEO & Co-Founder)Previously Director of Next Tech Incubation at Thoughtworks, and Principal Software Engineer at Silverbrook Reseach and Fox Technology.
Sina Jahan
(Head of Product Engineering & Co-Founder)Previously Head of Data Practice at Thoughtworks, Team Lead at ClearFit, and Software Engineer at Research Now.
Dan Siweic
(Principal Engineer & Co-Founder)Previously Principal Architect at Kambr, Lead Consultant at Thoughtworks, and Senior Solutions Developer at Acxiom.
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