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Technical Solutions Engineer

Join Nextdata and Shape the Future of Data!


Nextdata is on a mission to make data mesh principles a reality at enterprise scale. Founded by Zhamak Dehghani, the creator of the Data Mesh, we're pioneering a data-mesh-native platform—Nextdata OS—that empowers developers to share data responsibly through data product containers. We're transforming how data is created, shared, discovered, and used, making it more connected, faster, and fairer than ever before.


Are you passionate about building innovative data solutions and eager to help enterprises revolutionize their data infrastructure? We're seeking a talented Solutions Engineer to join our team. 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!

Your Impact

  • 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.

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 and equity, 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.

About Us


At Nextdata, we believe that decentralization is the key to unlocking the true potential of data. Our flagship product, Nextdata OS, is a data-mesh-native platform designed to tackle the challenges of decentralizing data at enterprise scale. We're pioneering a new way for developers to work with data, enabling them to share it responsibly through data product containers and empowering AI, machine learning, and analytics with decentralized, responsible, and equitable data ownership that transcends organizational, technological, and trust boundaries.


Our vision is to transform the experience of creating, sharing, discovering, and using data by adhering to data mesh principles, making this process more connected, faster, and fairer than ever before. We recognize that the world of data is complex and ever-changing: data models become outdated rapidly; data is owned across different trust boundaries; it's stored on various platforms; used in multiple modes; and data can't protect itself. Previous centralized approaches to data collection, modeling, and governance are not only ineffective but can also be unfair. That's why our technology empowers data developers, users, and owners with a delightful experience, treating data products as first-class primitives with built-in trust—we're reimagining the world of data.

Average salary estimate

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$100000K
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What You Should Know About Technical Solutions Engineer, Nextdata

Join Nextdata and shape the future of data as a Technical Solutions Engineer! We're on a mission to transform how enterprises utilize data through our pioneering data-mesh-native platform, Nextdata OS. Founded by Zhamak Dehghani, who introduced the concepts of data mesh, we empower developers by creating data product containers that allow organizations to share and utilize data more responsibly and effectively. In this exciting role, you'll actively build innovative data solutions tailored to customer needs and help guide their adoption of data mesh principles. Your days will involve collaborating closely with clients to translate their business requirements into actionable data products, and you’ll oversee the entire lifecycle of these projects, from initial ideation to successful deployment. Your expertise in data models, data pipelines, and analytics will be crucial as you create proof-of-concept products and gather valuable feedback for enhancing our platform. With a strong emphasis on customer engagement, you'll take part in shaping the future of Nextdata as we expand our Solutions Engineering team. If you have 7+ years of experience in data engineering or solutions architecture and are passionate about leveraging data for machine learning and analytics, we want to hear from you! At Nextdata, we believe in decentralization as a key to unlocking data's full potential, making this role essential in guiding our trajectory towards a more connected and innovative future.

Frequently Asked Questions (FAQs) for Technical Solutions Engineer Role at Nextdata
What are the key responsibilities of a Technical Solutions Engineer at Nextdata?

As a Technical Solutions Engineer at Nextdata, the key responsibilities include creating tailored data products on the Nextdata OS platform, collaborating closely with customers to understand their business needs, and guiding them through the adoption of data mesh principles. Additionally, you will manage the lifecycle of proof-of-concept data products, from initial concept to deployment, while leveraging your experience in data modeling, pipeline development, and analytics.

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What qualifications are required to apply for the Technical Solutions Engineer position at Nextdata?

To apply for the Technical Solutions Engineer position at Nextdata, candidates should have at least 7 years of experience in roles such as Data Engineer, Solutions Engineer, or Solutions Architect. Proficiency in data modeling, dashboard development using tools like Looker and Power BI, and expertise in CI/CD processes are essential. Programming skills in Python and familiarity with data pipeline tools like Airflow and cloud platforms such as AWS or Google Cloud will also be required.

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How does the Technical Solutions Engineer role contribute to customer success at Nextdata?

The Technical Solutions Engineer role at Nextdata is pivotal to customer success. By closely engaging with clients, you help them realize the full potential of their data infrastructure. Your role in developing customized data products enables customers to effectively implement data mesh principles, and your guidance throughout the process ensures a smooth transition, leading to improved data practices and outcomes.

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What programming skills are beneficial for a Technical Solutions Engineer at Nextdata?

For a Technical Solutions Engineer at Nextdata, proficiency in programming languages, especially Python, is extremely beneficial. Understanding additional programming concepts can facilitate quick prototyping of data solutions. Familiarity with data processing libraries like Pandas and environments like PySpark can greatly enhance your ability to build effective data pipelines and solutions.

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What unique traits make a successful Technical Solutions Engineer at Nextdata?

A successful Technical Solutions Engineer at Nextdata possesses a mix of technical expertise and excellent interpersonal skills. Curiosity about data and a passion for analytics are crucial traits, along with the ability to communicate complex concepts effectively to clients. Additionally, a commitment to embracing and promoting data mesh principles will contribute significantly to success in this role.

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Common Interview Questions for Technical Solutions Engineer
Can you explain your experience with data modeling and dashboard development?

When answering this question, provide specific examples of data modeling projects you've worked on, detailing the tools used like Looker or Power BI, and illustrate how your models addressed business needs. Discuss any challenges you faced and how you overcame them.

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How would you approach building a data product for a new customer?

Outline a strategic approach in your response. Start with understanding the customer's business goals, conducting requirement analysis, and then moving to translate those into technical specifications for the data product. Emphasize collaboration with stakeholders throughout the process.

Join Rise to see the full answer
What methodologies do you use for CI/CD in data projects?

Discuss the CI/CD tools you're familiar with, such as Jenkins or GitHub Actions, and explain how you've implemented these practices in past data projects. Mention the importance of automated testing and deployment in ensuring robust data pipelines.

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Describe a complex data pipeline you have developed.

Provide a concise overview of a specific data pipeline, detailing the tools used (like Airflow or Prefect), the data sources involved, the transformations applied, and the end result. Highlight how this pipeline added value to the business.

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How do you stay updated with advancements in data engineering and analytics?

Talk about the resources you utilize, such as blogs, online courses, and events in the data science community. Mention any specific thought leaders in data mesh or engineering who inspire you and how you apply their insights in your work.

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Can you give an example of how you handled a difficult customer issue?

Narrate a specific situation where you encountered challenges with a customer. Detail how you communicated with them effectively while resolving the issue and what the outcomes were. Focus on your problem-solving skills and building trust.

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What do you think is the most challenging aspect of implementing data mesh principles?

Discuss complexities such as cultural resistance within organizations, data ownership issues, or the technical challenges of decentralizing data. Provide insights on how these challenges can be addressed through effective communication and clear governance.

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What does 'data democratization' mean to you?

Explain your perspective on how data democratization empowers all users within an organization to access and utilize data effectively while emphasizing trust and data governance. Provide examples of how you've facilitated this in a prior role.

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How do you quantify the value of your analyses to stakeholders?

Share strategies for translating complex data insights into actionable recommendations using metrics and visual storytelling. Discuss how you align your findings with business objectives to illustrate the impact of your analyses.

Join Rise to see the full answer
What skills do you think are essential for a Technical Solutions Engineer?

Highlight a combination of technical and soft skills. Emphasize the importance of proficiency in data tools and programming alongside strong problem-solving abilities, teamwork, and excellent communication skills to engage effectively with stakeholders.

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NextData offers an extensive line of great new products, services and technologies that allow any community to thrive and reach new levels of efficiency and potential. Whether we are bringing broadband internet access and connectivity to an Indian...

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Full-time, remote
DATE POSTED
March 24, 2025

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