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Job openings across the Race Capital portfolio companies.

Sr Specialist Solutions Engineer - Data Engineering

Databricks

Databricks

Data Science
Munich, Germany
Posted on Friday, May 17, 2024

FEQ225R26

As a Sr Specialist Solutions Engineer (Sr SSE) - 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, that requires hands-on production experience with Apache Spark™ and expertise in other data technologies. You will help customers through design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks 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 specialty - whether that be streaming, performance tuning, industry expertise, or more. #LI-Onsite

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 data pipelines, including end-to-end pipeline load performance testing and optimization
  • Become a technical expert in an area 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:

  • 4+ years experience in a technical role with expertise in at least one of the following:
    • Software Engineering/Data Engineering: data ingestion, streaming technologies - such as Spark Streaming and Kafka, performance tuning, troubleshooting, and debugging Spark or other big data solutions.
  • Experience building big data pipelines.
  • Maintain and extend production data systems to evolve with complex needs.
  • Deep Specialty Expertise in at least one of the following areas:
    • Experience with high-performance, production data processing systems (batch & streaming) on distributed infrastructure.
    • Experience building large-scale real-time stream processing systems; expertise in high-volume, high-velocity data ingestion, change data capture, data replication, and data integration technologies.
    • Experience migrating and modernizing Hadoop jobs to public cloud data lake platforms, including data lake modeling and cost optimization.
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience.
  • Production programming experience in SQL and Python, Scala, or Java.
  • 2+ years professional experience with Big Data technologies (Ex: Spark, Hadoop, Kafka) and architectures
  • 2 years customer-facing experience in a pre-sales or post-sales role
  • This role can be remote, but we prefer that you be located in the job listing area and can travel up to 30% when needed.

Benefits

  • 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

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.

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.

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.