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Senior Specialist Solutions Engineer



Munich, Germany
Posted on Saturday, November 4, 2023


As a Senior Specialist Solutions Engineer (Sr. SSE) - Machine Learning, you will guide customers in building big data solutions on Databricks that span a large variety of machine learning use cases. You will be in a customer-facing role, working with and supporting Solution Architects, that requires experience with MLFlow™ and expertise in other MLOps technologies with the guidance of (senior) SSAs. SSEs 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 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 machine learning, MLOps, industry expertise, or more

The impact you will have:

  • Provide technical expertise to guide customers to successful implementations on big data projects, ranging from feature engineering, training, tracking, registry, serving to model monitoring all within a single platform
  • Co-Architect production level workloads, including end-to-end ML pipelines load performance testing and optimization
  • Become a technical expert in Databricks Machine Learning and MLOps technologies
  • 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 adoption of a variety of the ML offerings Databricks with customers as well as the larger Databricks Community

What we look for:

  • 2+ years experience in a technical role with expertise in at least one of the following:
  • Data Scientist/ML Engineer: model selection, model lifecycle, model scaling, AutoML, hyperparameter tuning, model serving, model monitoring, deep learning
  • MLOps Engineer: Build and maintain cloud infrastructure that supports the deployment of ML models and algorithms, monitors data drift, integration with production systems
  • Experience in applying Data Science / ML in production to build data-driven products for solving business problems
  • Specialty Expertise regarding ML concepts including Model Tracking, Model Serving
  • Production programming experience in SQL and Python, Scala, or Java
  • 1 years professional experience with Big Data technologies (e.g. Spark, Hadoop, Kafka) and architectures
  • 1 years customer-facing experience in a pre-sales or post-sales role
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience


  • 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
  • mployee referral bonus

About Databricks

Databricks is the data and AI company. More than 9,000 organizations worldwide — including Comcast, Condé Nast, and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. 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.


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