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Jobright.ai Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: Databricks is the data and AI company, and they are seeking a Resident Solutions Architect to join their Professional Services team. The role involves working with customers on big data challenges, providing data engineering and cloud technology projects, and ensuring customer success through technical support and project delivery. Responsibilities: • Handle a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases • Work with engagement managers to scope variety of professional services work with input from the customer • Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications • Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. • Provide an escalated level of support for customer operational issues • Collaborate with the Databricks Technical, Project Manager, Architect and Customer teams to ensure the technical components of the engagement are delivered to meet customer's needs • Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues Qualifications: Required: • 6+ years experience in data engineering, data platforms & analytics • Comfortable writing code in either Python or Scala • Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one • Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals • Familiarity with CI/CD for production deployments • Working knowledge of MLOps • Design and deployment of performant end-to-end data architectures • Experience with technical project delivery - managing scope and timelines • Documentation and white-boarding skills • Experience working with clients and managing conflicts • Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects • Ability to travel up to 30% when needed Company: Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a lakehouse architecture. Founded in 2013, headquartered in San Francisco, California, USA, team size 5001-10000 employees, currently Late Stage. Databricks has a track record of offering H1B sponsorships. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Product Management Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
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Resident Solutions Architect
role at
Jobright.ai 2 days ago Be among the first 25 applicants Join to apply for the
Resident Solutions Architect
role at
Jobright.ai Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: Databricks is the data and AI company, and they are seeking a Resident Solutions Architect to join their Professional Services team. The role involves working with customers on big data challenges, providing data engineering and cloud technology projects, and ensuring customer success through technical support and project delivery. Responsibilities: • Handle a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases • Work with engagement managers to scope variety of professional services work with input from the customer • Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications • Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. • Provide an escalated level of support for customer operational issues • Collaborate with the Databricks Technical, Project Manager, Architect and Customer teams to ensure the technical components of the engagement are delivered to meet customer's needs • Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues Qualifications: Required: • 6+ years experience in data engineering, data platforms & analytics • Comfortable writing code in either Python or Scala • Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one • Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals • Familiarity with CI/CD for production deployments • Working knowledge of MLOps • Design and deployment of performant end-to-end data architectures • Experience with technical project delivery - managing scope and timelines • Documentation and white-boarding skills • Experience working with clients and managing conflicts • Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects • Ability to travel up to 30% when needed Company: Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a lakehouse architecture. Founded in 2013, headquartered in San Francisco, California, USA, team size 5001-10000 employees, currently Late Stage. Databricks has a track record of offering H1B sponsorships. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Product Management Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for “Solutions Architect” roles.
Seattle, WA $93,000.00-$151,000.00 1 day ago Bothell, WA $200,700.00-$271,500.00 2 days ago Solutions Architect - IT Global Sustainability
Seattle, WA $175,000.00-$230,000.00 2 weeks ago Global Practice Architect, Public Sector, Google Cloud
Seattle, WA $218,000.00-$306,000.00 2 days ago Architect (Solutions) - Information Services, Operational Experience
Seattle, WA $184,000.00-$253,000.00 1 week ago Seattle, WA $120,000.00-$155,000.00 2 weeks ago Redmond, WA $150,000.00-$180,000.00 6 days ago Seattle, WA $272,000.00-$471,500.00 2 weeks ago Principal Solutions Architect - System level
Seattle, WA $224,000.00-$336,000.00 1 week ago Enterprise & Technical Architect (Pre-Sales)
Seattle, WA $158,200.00-$247,730.00 1 week ago Seattle, WA $281,000.00-$491,500.00 2 weeks ago Solutions Architect - Accelerated Computing
Seattle, WA $148,000.00-$287,500.00 1 week ago Seattle, WA $118,200.00-$204,300.00 4 days ago Seattle, WA $134,900.00-$254,900.00 2 days ago Redmond, WA $272,000.00-$471,500.00 2 weeks ago Bellevue, WA $182,000.00-$242,000.00 3 weeks ago Kirkland, WA $165,000.00-$193,000.00 3 days ago Seattle, WA $224,000.00-$356,500.00 2 weeks ago Seattle, WA $165,000.00-$223,200.00 1 week ago Seattle, WA $138,200.00-$239,000.00 4 days ago Seattle, WA $159,800.00-$246,400.00 5 months ago Enterprise & Technical Architect (Pre-Sales)
Seattle, WA $158,200.00-$247,730.00 1 week ago Seattle, WA $120,000.00-$155,000.00 2 weeks ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr