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Resident Solutions Architect - Financial Services
Databricks Inc.
- New York, New York, United States
- New York, New York, United States
Über
Resident Solutions Architect - Financial Services Remote - Massachusetts CSQ227R87 Candidates located in Central and Eastern Time Zone can also be considered for this position As a Senior Big Data Solutions Architect (Sr Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.
Responsibilities
You will work on 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 hands-on projects which leads to a customers' successful understanding, evaluation and adoption of Databricks
Provide an escalated level of support for customer operational issues
You will work with the Databricks technical team, Project Manager, Architect and Customer team 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
9+ 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 Apache Spark runtime internals
Familiarity with CI/CD for production deployments
Working knowledge of MLOps
Capable of design and deployment of highly 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
Experience in building scalable streaming and batch solutions using cloud-native components
Travel to customers up to 20% of the time
Nice to have: Databricks Certification
Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role are listed below and represent the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on factors such as job-related skills, depth of experience, relevant certifications and training, and specific work location. The total compensation package may include eligibility for annual performance bonus, equity, and the benefits listed above.
Zone 1 Pay Range: $180,656 — $248,360 USD
Zone 2 Pay Range: $180,656 — $248,360 USD
Zone 3 Pay Range: $180,656 — $248,360 USD
Zone 4 Pay Range: $180,656 — $248,360 USD
About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide 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.
Our Commitment to Diversity and Inclusion Databricks is committed to fostering a diverse and inclusive culture where everyone can excel. We hire 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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Note: This refined description removes unrelated application forms, multi-part disclaimers, and extraneous boilerplate while preserving the core responsibilities and qualifications of the role.
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Sprachkenntnisse
- English
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