Sr. Specialist Solutions Architect - AWS Partner Solution Architect

Sr. Specialist Solutions Architect - AWS Partner Solution Architect

Join to apply for the Sr. Specialist Solutions Architect - AWS Partner Solution Architect role at Databricks

Sr. Specialist Solutions Architect - AWS Partner Solution Architect

1 day ago Be among the first 25 applicants

Join to apply for the Sr. Specialist Solutions Architect - AWS Partner Solution Architect role at Databricks

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While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

As a Specialist Solutions Architect (SSA) - Data Intelligence Platform, you will guide partners in understanding our platform and articulate integrations with AWS native services to build big data solutions on Databricks that span a large variety of use cases. You will be in a partner-facing role, working with and supporting our field Solution Architects and partner teams, that requires hands-on production experience with AWS, SQL, Apache Spark and expertise in other data technologies. SSAs help partners build capabilities for 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 Field Engineering Leadership, 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 data governance, data science, machine learning, streaming, performance tuning, industry expertise, or more.

The Impact You Will Have

• Drive adoption and grow knowledge of Databricks products and accelerators on AWS by energizing the ecosystem of system integration partners, AWS technical field consultants, and Databricks direct field
• Provide tutorials and training to improve partner community adoption (including workshops, hackathons, and conference presentations)
• Translate field trends, AWS priorities, and Databricks product strategy into a cohesive story with clear call out for where we leverage both sides to build customer value in order to deliver that story
• Provide technical leadership to guide strategic partners to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment
• Demonstrate thought leadership and translate customer adoption patterns from the field to collaborate with product teams to consider integrations with AWS
• Become a technical expert in an area such as the open Lakehouse, big data streaming, or data ingestion and workflows
• Assist Solution Architects with aspects of the technical sale as they work alongside partners including customizing proof of concept content, and architectures
• Contribute to the Databricks Community

What We Look For

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

$157,000—$219,775 USD

Zone 2 Pay Range

$157,000—$219,775 USD

Zone 3 Pay Range

$157,000—$219,775 USD

Zone 4 Pay Range

$157,000—$219,775 USD

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, 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

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.

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Engineering and Information Technology

Industries

Software Development

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