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Sr. Manager, Delivery Solutions Architects - Manufacturing

FEQ326R360

This position can be remote; however, candidates must reside within the Eastern Time Zone in the United States.

Build and lead a team of Delivery Solution Architects. DSA’s lead the post sales technical strategy for our largest Enterprise customers, with a focus on ensuring use cases go into production as quickly and smoothly as possible. This requires resource orchestration skills and a solid understanding of Databricks technology and the Data+AI ecosystem. 

As a DSA Manager, you will shape and monitor the post sales execution strategy for the customers in your region, in close collaboration with our sales, pre-sales and professional services teams as well as partners. You will be responsible for the DSA team in the AMER Enterprise Manufacturing region and you will report to the DSA leader in the AMER region.

You will make investment decisions in collaboration with the sales and pre sales managers for your region. You will help shape and adjust the value proposition of the DSA role for your region and promote it in front of sales teams and customers. 

You will be technical sponsor and thought-leader to a select number of customers. You will hire and coach your team to prioritize and work with different customer stakeholders up to C-level executives, with the goal of driving usage growth by getting use cases into production, faster. 

You and your team will contribute to the creation of assets to build the Delivery Solution Architecture practice and improve effectiveness and consistency in working with customers.

The Impact You Will Have

  • Manage a diverse team of Delivery Solution Architects to achieve customer, company, and team goals (usage growth, career growth and hiring)
  • Hire, coach, and grow a team of Delivery  Solutions Architects for a company in high-growth mode
  • Keep your team of DSA’s ahead of the technical curve. A DSA adds value by maintaining advanced knowledge of the technology stack, and advising customers on the best use of it in their architecture. You will make sure that your team is continuously learning and staying in-line with  the other field functions while consistently exceeding their certification goals
  • Assign accounts and distribute work across individuals for optimal customer coverage and team balance
  • Inspire the team to be customer obsessed by understanding customer goals, their use cases, and Databricks technology
  • Build relationships and partner with Sales, pre Sales and professional services teams to accelerate growth of customers
  • Work with cross functional teams to reduce customer risk and help your team with escalations and address any issues or blockers
  • Lead team activities to monitor customer progress and forecast growth
  • Provide input to grow and improve internal processes, drive operational rigor and lead programs that drive impact across the organization
  • Maintain a robust hiring pipeline at all times

What We Look For

  • 7+ years of successful experience in a customer facing role
  • Proven delivery experience in SaaS Technologies, particularly in the areas of Data Analytics, Data Warehousing, Data Engineering, ETL, Machine Learning, AI or Data Science.
  • Experience building and leading technical post-sales teams - hiring, on-boarding, and enabling post-sales professionals
  • Trusted advisor to technical executives that guide strategic data project delivery decisions
  • Lead a team through best practices for architecture discussions, use case  Go-Lives, creating project and execution plans and customer growth strategy
  • Create a positive morale for the team and help foster a working relationship between Field Engineering, Sales, and other important internal partners
  • Experience in delivery and deployment of workloads or data products into production, e.g. in a delivery architect, project manager, devops, or service/product owner role
  • Conversant with business issues our customers face today and likely big data use cases in different industries

 

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.

 

Zone 2 Pay Range
$245,300$376,200 USD
Zone 3 Pay Range
$245,300$376,200 USD
Zone 4 Pay Range
$245,300$376,200 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

$310750 / YEARLY (est.)
min
max
$245300K
$376200K

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. Manager, Delivery Solutions Architects - Manufacturing , Databricks

If you're looking to step into a pivotal role with Databricks as a Sr. Manager of Delivery Solutions Architects in Manufacturing, you're in for an exciting journey! This position, based in the Southeast region of the United States, offers the flexibility of remote work, although candidates must reside within the Eastern Time Zone. In this influential role, you'll be leading a talented team of Delivery Solution Architects (DSAs) who drive post-sales technical strategy for our enterprise customers. Your mission? Ensure that use cases transition into production swiftly and efficiently. Collaboration is key, as you'll work closely with sales teams, professional services, and partners to elevate customer success. With over seven years of experience in customer-facing roles, your expertise in SaaS technologies, particularly in Data Analytics and Machine Learning, will shine here. You'll not only coach your team but also foster partnerships with key stakeholders, including C-level executives, while inspiring a customer-obsessed culture. Ready to challenge the status quo and push your team ahead of the technical curve? At Databricks, you’ll lead the charge in building effective strategies that boost usage growth and ensure the success of our manufacturing clients as they harness the power of the Data+AI ecosystem. Join us as we redefine data and AI, making a significant impact in a flourishing industry!

Frequently Asked Questions (FAQs) for Sr. Manager, Delivery Solutions Architects - Manufacturing Role at Databricks
What are the key responsibilities of a Sr. Manager, Delivery Solutions Architects at Databricks?

As the Sr. Manager of Delivery Solutions Architects at Databricks, your primary responsibilities include managing a diverse team of DSAs, shaping post-sales strategies for enterprise manufacturing clients, and collaborating with sales and professional services teams to ensure successful deployment of solutions. Additionally, you will oversee hiring and coaching of your team, prioritize customer engagement, and maintain a strong focus on usage growth.

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What qualifications are required to become a Sr. Manager, Delivery Solutions Architects at Databricks?

To be considered for the position of Sr. Manager, Delivery Solutions Architects at Databricks, candidates should possess at least 7 years of experience in a customer-facing role, demonstrated experience in SaaS technologies such as Data Analytics and Machine Learning, and proven expertise in leading post-sales teams. Strong communication skills and the ability to engage with technical executives are essential.

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How does the Sr. Manager, Delivery Solutions Architects role contribute to customer success at Databricks?

The Sr. Manager, Delivery Solutions Architects at Databricks plays a crucial role in ensuring customer success by coordinating the technical strategy for post-sales execution. This position facilitates effective communication between customers and the sales/presales teams, ensuring that customer use cases are executed smoothly and efficiently, thus accelerating growth and maximizing the value of Databricks' solutions.

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What skills are essential for a successful Sr. Manager, Delivery Solutions Architects at Databricks?

Essential skills for a successful Sr. Manager, Delivery Solutions Architects at Databricks include strong leadership qualities, resource orchestration expertise, advanced technical knowledge of Databricks technology, and the ability to cultivate relationships with various stakeholders. A deep understanding of industry-specific data challenges also enhances a candidate's potential to guide clients effectively.

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What is the importance of team management for a Sr. Manager, Delivery Solutions Architects at Databricks?

Team management is vital for a Sr. Manager, Delivery Solutions Architects at Databricks, as the role involves not only hiring and coaching but also inspiring a customer-centric culture within the team. Effective team management ensures that DSAs remain engaged, energized, and equipped with the latest industry knowledge, ultimately leading to improved customer satisfaction and stronger delivery outcomes.

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Common Interview Questions for Sr. Manager, Delivery Solutions Architects - Manufacturing
Can you describe your experience managing technical teams in a post-sales environment?

In answering this question, highlight your previous management roles, emphasizing your success in hiring, coaching, and leading technical teams. Discuss specific examples where you've driven usage growth or managed challenges that arose in the post-sales process.

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What strategies do you use to ensure successful execution of customer use cases?

Here, you should explain your approach to orchestrating resources and collaborating with different teams. Mention specific methodologies or frameworks you employ to streamline project execution and how you monitor progress to facilitate quick production rollout.

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How do you prioritize tasks within your team to ensure optimal customer coverage?

Discuss how you assess customer needs and the complexity of their use cases to allocate tasks effectively. Providing examples of how you balance workloads while ensuring that team members have the resources they need to succeed will strengthen your response.

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What is your approach to fostering relationships with C-level executives?

Your answer should focus on the importance of strategic communication and understanding the executive's business goals. Share instances where you established rapport with executives and how this led to successful project outcomes.

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How do you keep your team updated with the latest technological advancements?

Explain the various methods you employ to facilitate continuous learning within your team, such as regular training sessions, workshops, mentorship programs, and industry resources. Highlight your commitment to maintaining cutting-edge knowledge within your team.

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What metrics do you use to assess the performance of your Delivery Solution Architects?

Bring up the key performance indicators (KPIs) you utilize to measure the effectiveness of your team, including customer satisfaction, use cases deployed, and engagement levels. Discuss how you analyze these metrics to implement changes that drive performance.

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Could you provide an example of a challenging project you've guided your team through?

Share a specific challenge your team faced, what strategies you employed, and the outcomes achieved. This not only demonstrates your problem-solving skills but also showcases real-world experience in mitigating risks associated with project delivery.

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How do you balance customer advocacy with company objectives?

Discuss your philosophy on being a customer advocate while aligning with company goals. Explain how you navigate situations where customer needs might conflict with business constraints, emphasizing negotiation and communication skills.

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What role does collaboration with sales teams play in your strategy?

Explain how collaboration with sales is essential for understanding customer needs, sharing insights, and ensuring seamless transitions between pre-sales and post-sales phases. Highlight instances where this collaboration led to successful outcomes.

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What strategies have you employed to drive usage growth within your portfolio?

Your response should outline specific tactics you've implemented, such as proactive customer engagements, feedback loops, and leveraging data analytics to identify opportunities for growth while maintaining a focus on client satisfaction.

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

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DATE POSTED
March 27, 2025

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