Sr. Specialist Solutions Architect - Data Engineering
Neon
FEQ127R51
Specialist Solutions Architect - Data Engineering
As a Specialist Solutions Architect (SSA) - Data Engineering, you will guide customers in building big data solutions on Databricks that span a large variety of use cases. You will be in a customer-facing role, working with and supporting Solution Architects. The role requires hands-on production experience with Apache Spark, pipeline orchestration, performance tuning, OLTP databases, and Python application development. SSAs help customers through design and successful implementation, while aligning their technical roadmap for expanding the usage of the Databricks 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 as a Subject Matter Expert in areas like Streaming, Performance Tuning, OLTP, etc.
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 data pipelines, including end-to-end pipeline performance testing and optimization
- Become a leading technical expert in areas such as data lake technology, big data streaming, or big data ingestion and workflows
- Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing, and custom architectures
- Provide tutorials and training to improve community adoption (including hackathons and conference presentations)
- Contribute to the Databricks Community
What we look for:
- 5+ years of experience in a technical role with expertise in at least one of the following:
- Software Engineer/Data Engineer: data ingestion, streaming technologies - such as Spark Streaming and Kafka, performance tuning, troubleshooting, and debugging Spark or other big data solutions
- Data Applications Engineer: Build use cases that use data - such as risk modeling, fraud detection, and customer life-time value. Experience with OLTP backends and full-stack data application development, including Streamlit, Dash, Gradio, or Node.js
- Hands-on Solutions Architect in one of these areas, able to write/supervise production-grade code
- Production experience with Apache Spark or Databricks
- Maintain and extend production data systems to evolve with complex needs
- Production programming experience in Python or Scala/Java
- Very comfortable with some flavor of SQL, whether SparkSQL, Postgres, or a Data Warehouse
- Familiar with at least one of AWS, Azure, or GCP
- Deep Specialty Expertise in at least one of the following areas:
- Experience scaling big data workloads that are performant and cost-effective
- Experience with Development Tools for CI/CD, Unit and Integration testing, Automation and Orchestration, REST API, BI tools and SQL Interfaces (e.g. Jenkins)
- Experience designing data solutions on cloud infrastructure and services, such as AWS, Azure, or GCP, using best practices in cloud security and networking
- Experience implementing industry-specific data analytics use cases
- Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
- Ability to travel up to 30% when needed
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
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.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.
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.