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Sr. Solutions Architect - Strategic Digital Native Business

FEQ226R301

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. #LI-REMOTE

As a Sr. Solutions Architects on the Digital Natives team, you will shape the future of the big data landscape by working with the most sophisticated data engineering and data science teams in the world.

Reporting to the Field Engineering Sr. Manager, you will collaborate with strategic customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way.

The impact you will have:

  • You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
  • Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications
  • Collaborate with your fellow Solutions Architects, using your skills to support each other and our users
  • Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.

What we look for:

  • 7+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
  • Experience building distributed data systems
  • Comfortable programming in, and debugging, Python and SQL
  • Have built solutions with public cloud providers such as AWS, Azure, or GCP
  • Expertise in one of the following:
    • Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
    • Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, pytorch, Tensorflow)
  • Available to travel to customers in your region
  • [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
  • Nice to have: Databricks Certification

NOTE: If your experience isn’t a perfect match for the job description, but you feel like you’re a good fit for the role, apply.  We want to work with smart, passionate, people who are good at their job, and, a lot of times, those people have non-linear career paths.

 

 

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks utilizes the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

 

Local Pay Range
$196,200$300,800 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on TwitterLinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Average salary estimate

$248500 / YEARLY (est.)
min
max
$196200K
$300800K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Sr. Solutions Architect - Strategic Digital Native Business, Databricks

As a Sr. Solutions Architect on the Digital Natives team at Databricks, you’ll be at the forefront of innovation in the big data landscape. If you have a passion for shaping cloud solutions and enjoy collaborating with data engineering and data science experts, this could be your dream role. Based on the beautiful West Coast of the United States, you will engage with strategic customers, and partner with the sales team to provide top-notch technical leadership. You’ll not only craft architectures and solutions using our powerful platform and APIs but also guide clients in understanding how Databricks can effectively address their unique business challenges. Your responsibilities will span consulting on Big Data architectures, implementing proofs of concept for sophisticated projects, and validating integrations with cloud services. Moreover, you’ll have the exhilarating task of promoting and recruiting contributors for Databricks inspired open-source projects across the developer community. With seven years under your belt in data engineering, technical architecture, or a similar consulting role, you’ll be right at home. Your expertise in programming languages like Python and SQL, along with experience in cloud solutions from providers like AWS or Azure, will be invaluable. Not only will you be instrumental in developing technical champions, but you'll also have the opportunity to work in a flexible environment with a team that values diversity and innovation. Join Databricks and help redefine what's possible with data!

Frequently Asked Questions (FAQs) for Sr. Solutions Architect - Strategic Digital Native Business Role at Databricks
What are the main responsibilities of a Sr. Solutions Architect at Databricks?

As a Sr. Solutions Architect at Databricks, you will collaborate with various teams to develop big data architectures, consult on implementation strategies, and offer technical leadership to customers. Your role includes leading projects across data engineering, data science, and machine learning, while also integrating solutions with cloud services and other tools.

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What qualifications are required for the Sr. Solutions Architect role at Databricks?

To be considered for the Sr. Solutions Architect position at Databricks, you should have at least 7 years of experience in a related field such as data engineering or technical architecture. Familiarity with programming languages like Python and SQL, and proficiency in cloud platforms like AWS, Azure, or GCP are essential. A degree in a quantitative discipline is preferred, but not mandatory.

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What does an average day look like for a Sr. Solutions Architect at Databricks?

An average day for a Sr. Solutions Architect at Databricks involves collaborating with sales teams, consulting with clients regarding their big data needs, designing innovative solutions, and conducting proofs of concept. You'll also spend time mentoring junior team members and staying updated on the latest industry trends.

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Is travel required for the Sr. Solutions Architect position at Databricks?

Yes, the Sr. Solutions Architect role may involve travel to client sites within your region. This is essential for building strong relationships with customers and understanding their unique business needs firsthand.

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What kind of projects will I work on as a Sr. Solutions Architect at Databricks?

As a Sr. Solutions Architect at Databricks, you'll work on projects that involve designing and implementing big data solutions across diverse industries. This includes collaborating on artificial intelligence projects, building data engineering frameworks, and enhancing machine learning applications.

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Common Interview Questions for Sr. Solutions Architect - Strategic Digital Native Business
How do you approach designing a big data architecture for a client?

When designing a big data architecture, I start by thoroughly understanding the client's business objectives and current data landscape. This involves conducting needs assessments, similar to a typical solutions architect at Databricks, and then I use that information to create scalable solutions that leverage Databricks' capabilities, ensuring best practices are followed.

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Can you discuss your experience with cloud platforms like AWS or Azure?

Certainly! In my previous roles, I have developed and deployed applications on AWS and Azure. My work involved optimizing cloud resources for performance and cost, which aligns with the responsibilities of a Sr. Solutions Architect at Databricks. This experience taught me how to integrate Databricks platform effectively with existing cloud infrastructures.

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What programming languages are you proficient in, and how have you used them in your projects?

I am proficient in Python and SQL, which I regularly use for data manipulation and querying. I have used Python for machine learning tasks and SQL for real-time data analysis and reporting, reflecting the skill set required in the Sr. Solutions Architect role at Databricks.

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How do you ensure you stay updated with the latest trends in data engineering?

Staying updated with industry trends is crucial in my role. I regularly participate in webinars, read industry blogs, and contribute to open-source projects, such as those by Databricks. Networking with other professionals and attending conferences is also part of my commitment to continuous learning.

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Describe a challenging project you have worked on and how you overcame obstacles.

One challenging project involved integrating various data sources into a unified analytics platform. It required collaboration among multiple teams and constant troubleshooting. By leveraging my skills as a Sr. Solutions Architect, I facilitated effective communication and focused on iterative problem-solving to achieve the desired outcomes.

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How do you approach collaboration with other teams within the company?

Collaboration is essential for success in the Sr. Solutions Architect role at Databricks. I prioritize open communication, regular check-ins, and leveraging collaboration tools to ensure all team members are aligned and informed during projects.

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Can you explain a time when you provided technical leadership to a client?

Once, I guided a client through transitioning to a cloud-based solution. I conducted workshops to share best practices and provided a roadmap for implementation, demonstrating the value of our Databricks platform. This personal touch helped in gaining their trust and ensured seamless adoption.

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In your view, what makes Databricks stand out in the data and AI industry?

Databricks stands out for its commitment to innovation, combining data engineering and data science into a single platform, which facilitates seamless analytics. Its open-source initiatives also encourage community collaboration, a key factor for many users looking to advance their data capabilities.

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What is your experience with machine learning technologies?

I have practical experience using machine learning libraries like scikit-learn and TensorFlow. By building predictive models and conducting exploratory data analysis, I have leveraged these technologies to deliver insights, aligning closely with the expectations for a Sr. Solutions Architect at Databricks.

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How do you validate the effectiveness of a data architecture you’ve implemented?

To validate a data architecture, I implement metrics to measure performance, stability, and user satisfaction. Continuous monitoring and collecting feedback from end-users allows adjustments to be made, ensuring that the architecture meets the evolving needs of the client.

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Databricks, the data and AI company, helps data teams solve the world’s toughest problems.

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Full-time, remote
DATE POSTED
March 21, 2025

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