As a Senior Specialist Solutions Architect (Sr SSA), you will guide customers in building big data solutions on Databricks that span a large variety of use cases with complex/specialized needs. This is a customer-facing role, working with and supporting the Solution Architects, requiring hands-on production experience with SQL and data warehousing and expertise in other data technologies. SSAs help customers through design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Lakehouse 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 to consolidate the skills in your area of specialty.

The impact you will have:

• Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural and security design to development and deployment best practices.
• Provide guidance, best practices and oversight for large-scale enterprise data warehouse migrations, serving as a trusted technical advisor to senior tech leads and executives
• Become a technical expert in areas such as cloud platforms, data management, performance, and architecture
• Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, workload sizing, and custom architectures
• Create best practices assets and thought leadership content to be used by the wider field engineering team
• Improve community adoption (through tutorials, training, hackathons, conference presentations)
• Contribute to the Databricks Community, act as a technical SME and drive initiatives to improve efficiency beyond their immediate team.
• You will mentor junior team members during onboarding and by shadowing reverse shadowing.

What we look for:

• Pre-sales or post-sales experience working with external clients across a variety of industry markets
• Ability to design highly performant, scalable, secure and cost effective cloud-based data solutions, and articulate architectures and design choices to customer's senior stakeholders.
• Experience with design and implementation of a broad range of data technologies such as Hadoop, Spark, NoSQL, OLTP, OLAP, and ETL/ELT.
• Hands-on experience working with MPP data warehouse appliances (Oracle Exadata, Teradata, IBM Netezza, []) or cloud data warehouses (Amazon Redshift, Azure Synapse, Snowflake)
• Familiarity with common data modelling methodologies such as dimensional modelling, Data Vault, Inmon
• Extensive knowledge and experience in SQL language or any SQL dialect (PL/SQL, Transact-SQL, etc.)
• Experience with BI tools such Power BI, Tableau, Qlik, or others
• Deep knowledge of development tools and best practices for data 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, or R
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent work experience
• This role can be remote and can travel up to 30% when needed.

Benefits

• Employer contributions to public or private health plan
• Equity awards
• Paid parental leave
• Gym reimbursement
• Annual personal development fund
• Work headphones reimbursement
• Business travel insurance