PazaJobs

Senior Solutions Engineer - Qatar & S.Africa Fly-in

Databricks · London, United Kingdom
Full-time Senior Field Engineering - Other United Kingdom 150.000–200.000 USD

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Responsibilities

  • Create impactful relationships with customer accounts across MEA regions
  • Act as trusted advisor to C-level executives on Data & AI strategies
  • Lead strategic engagements and Data & AI transformation roadmaps
  • Author reference architectures, how-tos, and demo applications
  • Build Databricks community through workshops, seminars, and meet-ups
  • Support partners and internal events in the MEA region

Requirements

  • 5+ years of experience in technical customer interactions
  • Pre-sales and complex sales lifecycles experience
  • Use case discovery, scoping, and solution architecture design
  • Data Engineering, Data Warehousing, Data Science experience
  • Cloud platform experience (Databricks, AWS, Microsoft, GCP)
  • AI, AI Agents, and Big Data Analytics proficiency
  • Coding expertise in Python, Java, or Scala
  • Apache Spark architecture understanding
  • Excellent English communication skills
  • Willingness to travel up to 2 weeks per month

Skills

  • Databricks
  • Apache Spark
  • Delta Lake
  • MLflow
  • Python
  • Java
  • Scala
  • AWS
  • Azure
  • GCP
  • Data Engineering
  • Data Warehousing
  • Data Science
  • AI Agents
  • Big Data Analytics
  • Pre-sales
  • Solution Architecture

Benefits

  • Comprehensive health coverage
  • Equity/stock options
  • Flexible PTO
  • Remote/hybrid work options
  • Learning & development budget
  • Parental leave
(FEQ427R38)   At Databricks, our core values 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. As a Senior Solutions Engineer in the MEA Pre-Sales team (Qatar & S.Africa Fly-in), 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 customised 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! The impact you will have: Create impactful and successful relationships with customer accounts across the regions, providing technical and business value to Databricks customers in collaboration with the extended team. Act as a trusted advisor to C-level executives, defining long-term Data & AI strategies, modernising platforms, and aligning technical vision with business outcomes to drive measurable impact and innovation. Lead strategic engagements, shaping Data & AI transformation roadmaps, fostering innovation partnerships, and driving account growth across territories in the regions. Scale best practices in your field by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups. Grow your knowledge and expertise to the level of a technical and/or industry specialist. What we look for: 5+ years of experience engaging in technical customer interactions, preferably bringing direct pre-sales and complex sales lifecycles experience. Relevant and transferable consulting experience can also be considered for the role.   Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences, requiring an ability to switch context and/or levels of technical depth. Ability to dive deeper into solution architecture and Data Engineering, Data Warehousing, Data Science use cases, combined with experience working on cloud platforms (e.g., Databricks, AWS, Microsoft, GCP, or other relevant platforms)  Proficiency with Artificial Intelligence, AI Agents, and Big Data Analytics technologies, including hands-on expertise with sophisticated proofs-of-concept and public cloud platform(s).  Coding expertise in a core programming language (i.e., Python, Java, Scala). A foundational understanding of Apache Spark architecture is preferable; hands-on skills will be advantageous for the role. We will be testing your ability to utilise AI-assisted tools through our hiring process! Key Notes for the role: Location for the role needs to be within a commutable distance of our office location for a hybrid schedule. You will need to be flexible and willing to travel across the region(s) for customer visits & events on a regular basis (i.e. up to ~2 weeks per month). Willing to manage different conversations with Business and Technical stakeholders; Enabling Partners and support internal events in the MEA region. Excellent communication skills in English required as a minimum. #LI-hybrid  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 Twitter, LinkedIn and Facebook.BenefitsAt 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. 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.

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