Data Science Solutions Architect
2 weeks ago
We are seeking an experienced Data Science Solutions Architect to join our team. As a key member of our pre-sales team, you will work closely with our Account Executives to define and direct the technical strategy for our largest and most important accounts.
Key Responsibilities:- Develop and implement technical strategies for large enterprise accounts
- Lead customers on a transformational journey to evaluate and adopt Databricks as part of their strategy
- Implement technical strategies in accounts, in close collaboration with the customer
- Build a movement of technical champions within accounts
- Align technical strategies around Databricks solutions
- Provide structured mentorship for other team members
- Experience working with very large enterprises (> $1m ARR) in the Communications, Media, and Entertainment space
- Technical expertise in big data, data science, and cloud
- Ability to drive data-driven business transformation and change with data
- Experience with design and implementation of big data technologies such as Hadoop, NoSQL, MPP, OLTP, and OLAP or full lifecycle data science solutions
- Production programming experience in Python, R, Scala, or Java
- Comprehensive health coverage including medical, dental, and vision
- 401(k) Plan
- Equity awards
- Flexible time off
- Paid parental leave
- Family Planning
- Gym reimbursement
- Annual personal development fund
- Employee Assistance Program (EAP)
We are committed to fair and equitable compensation practices. The pay range for this role is $139,700—$247,300 USD. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.
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. We are headquartered in San Francisco, with offices around the globe and were founded by the original creators of Lakehouse, Apache Spark, Delta Lake, and MLflow.
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.
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