Specialist Solutions Engineer (Data Warehousing, Business Intelligence)

Req ID FEQ225R117

As a Specialist Solutions Engineer (SME-Data Warehousing / Business Intelligence), 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 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 a background in Data Warehousing with Data Engineering skills 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
• Expertise in data warehousing - such as query tuning, performance tuning, troubleshooting, and debugging MPP data warehouses or other big data solutions. Maintained, extended, or migrated a production data warehouse system to evolve with complex customer needs.
• Design performant, scalable, secure and cost-effective cloud-based data solutions, and articulate architectures and design choices to customers' senior stakeholders.
• Experience with the design and implementation of a broad range of data technologies such as Hadoop, Apache 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)
• Advise customers in Data Warehousing architecture, including anticipating blockers and addressing them before they become an issue
• Familiarity with common data modelling methodologies such as dimensional modelling, Data Vault, Inmon
• Experience in SQL language or any SQL dialect (PL/SQL, Transact-SQL or others)
• Experience with BI tools such Power BI, Tableau, Qlik, or others
• 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 of the following languages - Python, Scala, or R
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent work experience
• Experience with the AWS, Azure, or GCP clouds is highly desirable.
• This role will require you to travel up to 30% when needed.

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