Enterprise Data Solutions Architect

1 month ago

San Francisco, California, United States Nextdata Technologies Inc Full time

Unlock the Potential of Data

At Nextdata Technologies Inc, we're pioneering a new way for developers to work with data. Our flagship product, Nextdata OS, is a data-mesh-native platform designed to tackle the challenges of decentralizing data at enterprise scale.

As an Enterprise Data Solutions Architect, you'll be part of our mission to transform the experience of creating, sharing, discovering, and using data by adhering to data mesh principles. We recognize that previous centralized approaches to data collection, modeling, and governance are not only ineffective but can also be unfair.

We're seeking a talented professional with a strong background in data engineering, customer engagement, and end-to-end solutions development. Your expertise will help us build comprehensive data products that address the needs of our customers.

Your Impact

  • Create End-to-End Data Solutions: Develop innovative data products on top of Nextdata OS, translating customer business needs into Proof of Concept (PoC) data solutions.
  • Collaborate with Customers: Work closely with our initial customers to understand their business requirements and develop data solutions that address their needs.
  • 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 solutions.
  • 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 solutions, 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.

What We're Looking For

  • 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.

Nice to Haves

  • 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.

Our Benefits

  • We offer a competitive salary of $120,000 - $180,000 per year, giving you ownership in the company's future.
  • Premium health, vision, and dental insurance coverage for you and your dependents.
  • Unlimited paid time off for flexibility and balance.
  • $2,000 for your home workspace setup and a company laptop to get started.

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