Specialist Solutions Architect - Data Engineering (Healthcare & Life Sciences)

FEQ427R390

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, that requires hands-on production experience with Apache Spark™ and expertise in other data technologies. SSAs help customers through design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Data 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.

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:

5+ 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

Data Applications Engineering: Build use cases that use data - such as risk modeling, fraud detection, customer life-time value

Extensive experience building big data pipelines

Experience maintaining and extending production data systems to evolve with complex needs

Deep Specialty Expertise in at least one of the following areas:

Experience scaling big data workloads (such as ETL) that are performant and cost-effective

Experience migrating Hadoop workloads to the public cloud - AWS, Azure, or GCP

Experience with large scale data ingestion pipelines and data migrations - including CDC and streaming ingestion pipelines

Expert with cloud data lake technologies - such as Delta and Delta Live

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

Can meet expectations for technical training and role-specific outcomes within 6 months of hire

Can 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 base 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 anticipated 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.

Zone 1 Pay Range

$264,000—$363,000 USD

Zone 2 Pay Range

$264,000—$363,000 USD

Zone 3 Pay Range

$264,000—$363,000 USD

Zone 4 Pay Range

$264,000—$363,000 USD

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

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 click here.

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.