Senior Solutions Architect
vor 12 Stunden
As a Senior Specialist Solutions Engineer at Databricks, you will play a key role in guiding customers in building big data solutions on our platform 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.
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 lead initiatives to improve efficiency beyond their immediate team.
What We Look For:
- 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, 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 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 and 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.
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