Join Our Team as a Sr Specialist Solutions Engineer in Data Engineering
We're excited to offer an opportunity for a talented Sr Specialist Solutions Engineer (Sr SSE) - Data Engineering at Databricks. In this role, you'll have the chance to guide our customers as they build sophisticated big data solutions utilizing the Databricks platform, covering a diverse range of use cases.
As a pivotal customer-facing team member, you'll work closely with Solution Architects and provide technical guidance during the entire implementation process. Your expertise in Apache Spark™ and deep knowledge of other data technologies will be essential as you help design and implement critical workloads and strategic plans for scaling technology applications.
What You Will Do
- Lead the technical strategy for high-profile customer projects, ensuring successful big data solution implementations from architectural design to data engineering and model deployment.
- Design and optimize production-level data pipelines and manage end-to-end pipeline performance testing.
- Develop specialized knowledge in areas such as data lake technology, big data streaming, or data ingestion workflows to become a technical expert.
- Support Solution Architects with complex technical sales aspects, including custom proof of concepts, workload sizing, and architecture designs.
- Enhance community engagement through tutorials, training sessions, hackathons, and conference presentations.
What We Look For
- A minimum of 4 years’ experience in technical roles with expertise in software engineering/data engineering, notably in data ingestion, streaming technologies like Spark Streaming and Kafka, and big data solutions.
- Proven experience in building and maintaining big data pipelines and adapting data systems to meet complex requirements.
- Deep specialty expertise in high-performance data processing systems, real-time stream processing systems, or large-scale data integration technologies.
- A Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent practical experience.
- Strong programming skills in SQL, Python, Scala, or Java.
- At least 2 years of professional experience with major Big Data technologies and architectures, with an additional 2 years in a customer-facing role, ideally in pre-sales or post-sales.
This position offers the flexibility of remote work, although being located within the job listing area with the ability to travel up to 30% is preferred.
Your Benefits
- Private medical, life, and disability insurance
- Comprehensive pension plan and vision reimbursement
- Equity awards and enhanced parental leaves
- Annual career development fund and fitness reimbursement
- Home office setup and work headphones reimbursement
- Mental wellness resources and employee referral bonuses
Our Commitment to Diversity and Inclusion
At Databricks, fostering a diverse and inclusive culture where everyone can thrive is a priority. We ensure our hiring practices are inclusive and meet equal employment opportunity standards, welcoming applicants without regard to protected characteristics.
About Databricks
Databricks, the leader of Data and AI, supports over 10,000 organizations globally, including more than half of the Fortune 500. Our mission is to unify data, analytics, and AI by providing an intelligent, scalable platform founded by the inventors of major technologies like Apache Spark™, Delta Lake, and MLflow. Join us to lead the innovation in data solutions from our headquarters in San Francisco and offices worldwide.
Apply Now
Ready to be a part of something big? Apply to be our next Sr Specialist Solutions Engineer in Data Engineering and help shape the future of big data technologies at Databricks.