Sr. Solutions Engineer - Games

We need to output HTML fragment with headings

for sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. Remove boilerplate, navigation, EEO, etc. Preserve all substantive info. We need to parse the posting. Let's extract sections: - About the role: The initial paragraph about Databricks mission? Actually "At Databricks, our core principles..." etc. That's about company. Might be "About the role" or "About Databricks". The instruction says use headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We need to map content. We have: - Intro: "While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered." That's location note; maybe minor metadata, can be short p. - Then: "At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!" That's about the role/company. Could be "About the role" or "About Databricks". We'll put under

About the role

with that paragraph. - Then: "As a Sr. Solutions Engineer, you will independently lead technical engagements for customers, owning discovery, solution design, and platform demonstrations. You are a builder who can code, architect, and present—combining technical depth with customer-facing skills to drive Databricks adoption. You will own frontline customer relationships and work with your Account Executive to develop technical strategies that expand platform usage." That's responsibilities. Then bullet list under "The Impact You Will Have": list of items. Thus responsibilities section: combine paragraph and bullet list. - Then "What We Look For": list of requirements (4+ years, proficient in Python and SQL, etc). That's requirements/qualifications/skills. We need to separate maybe Requirements (experience), Qualifications (education), Skills (technical). But we can combine into one section if content is substantive. However instruction: prefer few substantive sections over many thin ones. We could have sections: Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay. But we need to avoid thin sections. Let's extract: What We Look For bullet points: - 4+ years in data engineering, solutions architecture, technical pre-sales, or a hands-on consulting role - Proficient in Python and SQL with demonstrated ability to debug, optimize, and write production-quality code — live coding is a required interview stage - Hands-on experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP) - Working knowledge of distributed data systems: Apache Spark™, Delta Lake, or equivalent (Hadoop, Kafka, Flink) - Experience leading technical customer conversations — discovery, whiteboarding, architecture reviews - Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics - Strong presentation and demo skills — you will build and present a live solution during the interview - Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience) That's a mix of experience, skills, education. Then "Nice To Have": Databricks certification or experience with the Databricks Platform; Experience with Unity Catalog, Lakeflow Spark Declarative Pipelines, or MLflow; Background at a data/AI company, cloud provider, or technical consulting firm. That's nice-to-have, could be under Skills or Qualifications. Then Interview Process details: we should remove as per instruction: remove application instructions? Interview process maybe considered application instructions? It says remove application instructions. Likely we should drop Interview Process section. Then "#CMEG Pay Range Transparency" heading and details about pay ranges. That's pay section. We need to include Pay section if posting actually states them. Yes, they list pay ranges per zone. So we include

Pay

with that info. Then "About Databricks": description of company. Could be under About the role or separate About Databricks. Since we already used About the role for intro, we could add another section About the company? But instruction only lists specific headings; we can use About the role for role description, and maybe we can include About Databricks under same section or maybe we can add a separate section like About the company not in list; better to keep to allowed headings. Could incorporate About Databricks into About the role paragraph. Then "Benefits": section with description: "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 click here." That's benefits but vague; no specific benefits listed. According to rule: never create Benefits section unless posting actually states them. It states they provide comprehensive benefits and perks, but no specifics. Is that enough? It says "For specific details on the benefits offered in your region click here." That's not substantive. Likely we should not create Benefits section because no specific benefits listed. So omit Benefits. Schedule: none mentioned, omit. Thus sections: About the role, Responsibilities, Requirements (maybe combine Qualifications and Skills), Pay. We need to use

for each section heading. Use

• for any list of duties/requirements/benefits. Use

  for prose. We need to preserve all substantive information; do not invent or summarize away detail. Let's craft:

  About the role

  While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!

  Then Responsibilities:

  Responsibilities

  As a Sr. Solutions Engineer, you will independently lead technical engagements for customers, owning discovery, solution design, and platform demonstrations. You are a builder who can code, architect, and present—combining technical depth with customer-facing skills to drive Databricks adoption. You will own frontline customer relationships and work with your Account Executive to develop technical strategies that expand platform usage.

  • Independently lead technical discovery and solution design for customer workloads spanning data engineering, analytics, and machine learning
  • Build and deliver compelling proofs-of-concept and live demos on the Databricks Platform that drive technical wins
  • Own frontline technical relationships with customer engineers, data teams, and technical leads
  • Develop account-level technical strategies in partnership with your Account Executive to grow platform consumption
  • Navigate competitive landscapes by articulating Databricks differentiation through hands-on demonstrations
  • Contribute reusable technical assets (notebooks, solution accelerators, reference architectures) to the broader SA community
  Then Requirements/Qualifications/Skills: We could split into Requirements (experience) and Skills (technical) but to avoid thin sections, maybe combine into one section "Requirements". But we have education also. Could do "Requirements" covering experience, skills, education. Let's do that.

  Requirements

  • 4+ years in data engineering, solutions architecture, technical pre-sales, or a hands-on consulting role
  • Proficient in Python and SQL with demonstrated ability to debug, optimize, and write production-quality code — live coding is a required interview stage
  • Hands-on experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP)
  • Working knowledge of distributed data systems: Apache Spark™, Delta Lake, or equivalent (Hadoop, Kafka, Flink)
  • Experience leading technical customer conversations — discovery, whiteboarding, architecture reviews
  • Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics
  • Strong presentation and demo skills — you will build and present a live solution during the interview
  • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)
  Nice-to-have could be included as a sublist? Could add another
  under same heading? Might be okay to add a separate "Nice to have" but not a heading. Could add a paragraph: "Nice to have: Databricks certification or experience with the Databricks Platform; Experience with Unity Catalog, Lakeflow Spark Declarative Pipelines, or MLflow; Background at a data/AI company, cloud provider, or technical consulting firm." That's preserving info. Add after the list:

  Nice to have: Databricks certification or experience with the Databricks Platform; Experience with Unity Catalog, Lakeflow Spark Declarative Pipelines, or MLflow; Background at a data/AI company, cloud provider, or technical consulting firm.

  Then Pay section:

  Pay

  Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected 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 anticipates utilizing 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.

  • Zone 1 Pay Range $152,300—$209,450 USD
  • Zone 2 Pay Range $152,300—$209,450 USD
  • Zone 3 Pay Range $152,300—$209,450 USD
  • Zone 4 Pay Range $152,300—$209,450 USD
  We should not include the "For more information regarding which range your location is in visit our page here." That's a link; could be omitted as it's not substantive? It's a reference; but we can keep as part of paragraph maybe. But it's a link; we could keep as text: "For more information regarding which range your location is