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- 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 lead initiatives to improve efficiency beyond their immediate team.
- Pre-sales or post-sales experience working with external clients across a variety of industry markets
- Design 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)
- Advise customers in Data Warehousing architecture, including anticipating blockers and address them before they become an issue
- Familiarity with common data modeling methodologies such as dimensional modeling, 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
- This role can be remote and can travel up to 30% when needed.
- Private medical insurance
- Life, accident & disability insurance
- Pension Plan
- Vision Reimbursement
- Equity 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
Senior Specialist Solutions Engineer - Munich, Deutschland - Databricks
Beschreibung
As a Senior Specialist Solutions Engineer (Sr SSE), 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.
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