Req ID FEQ125R118

As a Senior Specialist Solutions Engineer (SSE), you will guide customers in building big data solutions on Databricks that span a large variety of use cases. These are customer-facing roles, working with and supporting the Solution Architects, requiring hands-on production experience with Apache Spark™ and expertise in other data technologies. SSAs help customers through the design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Data Intelligence Platform. As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs and establish yourself in an area of speciality - whether that be performance tuning, machine learning, industry expertise, or more.  

You will be reporting to Senior Manager, Field Engineering (Specialist Team)

The impact you will have:

• Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment
• Architect production-level workloads, including end-to-end pipeline load performance testing and optimisation
• Provide technical expertise in an area such as data management, cloud platforms, data science, machine learning, or architecture
• Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing, and custom architectures
• Improve community adoption (through tutorials, training, hackathons, conference presentations)
• Contribute to the Databricks Community

What we look for:

• Ideally experience in technical customer-facing and with a background in Cloud Infrastructure Platform specialist, looking to learn and develop in a customer-facing technical role in a pre-sales environment as a Subject Matter Expert (SME).
• Pre-sales or post-sales experience working with external clients across a variety of industry markets

Cloud Platform Skills

• Pre-sales or post-sales experience working with external clients across a variety of industry markets
• Experience designing cloud infrastructure and services, such as AWS, Azure, or GCP using best practices in cloud security and networking, including several of the following:
  • Designing, deploying, and maintaining cloud networks
  • Infrastructure security (e.g. managing network-level security, private endpoints, firewalls, etc)
  • Identity & Access Management (e.g. role-based access control, using the principle of least privilege, integration with IdPs, etc)
• Hands-on experience with cloud infrastructure automation (e.g. Terraform or cloud-specific resource management tools like ARM, CloudFormation, etc). 
• Ability to design and extend highly performant, scalable, secure, and cost-effective cloud-based big data solutions
• Familiarity with big data technologies such as Spark/Delta, Hadoop, and MPP.
• Deep knowledge of development tools and best practices for engineers including CI/CD, unit and integration testing, plus automation and orchestration
• Production programming experience in one or more of the following languages - Python, Scala, SQL, or R
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent work experience 
• This role can be remote, but we prefer that you be located in the job listing area and can travel up to 30% when needed.
• Nice to have: Databricks Certification, Data Governance

Benefits

• Private medical insurance
• Private dental insurance
• Health Cash Plan
• Life, income protection & critical illness insurance
• Pension PlanEquity awards
• Enhanced Parental Leaves
• Fitness reimbursement
• Annual career development fund
• Home office & work headphones reimbursement
• Business travel accident insurance
• Mental wellness resources
• Employee referral bonus

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.

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.