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Solutions Architect - Retail, Travel & Hospitality
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ICT
💰 Salary Not shared
📊 Market NA
About the Company
Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 - rely on Databricks 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 Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool). Software Development Specialties: Apache Spark, Apache Spark Training, Cloud Computing, Big Data, Data Science, Delta Lake, Data Lakehouse, MLflow, Machine Learning, Data Engineering, Data Warehousing, Data Streaming, Open Source, Generative AI, Artificial Intelligence, Data Intelligence, Data Management, Data Goverance, Generative AI, AI/ML Ops
Responsibilities
- ● Work with up to 9 clients as the main technical voice for Databricks
- ● Lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy
- ● Implement the technical strategy in the account, in close understanding of the strategy
- ● Build a movement of technical champions within the account
- ● Align technical strategies around Databricks solutions
- ● Provide structured mentorship for other team members
Requirements
- ● 5+ years of experience working with very large ( 1m ARR) accounts in the Retail and CPG related space
- ● 3+ years working in a pre-sales capacity or supporting sales activity
- ● Technical background in big data, data science, and cloud
- ● An ability in data-driven business transformation, and driving change with data
- ● 3+ years of experience with design and implementation experience in big data technologies such as Hadoop, NoSQL, MPP, OLTP, and OLAP or full lifecycle data science solutions
- ● Maintain and extend production data systems to evolve with complex customer needs
- ● Production programming experience in Python, R, Scala, or Java
- ● Databricks Certification (nice to have)
Benefits
- ● Eligibility for annual performance bonus
- ● Equity
- ● Benefits listed above (not specified in provided text but mentioned as part of total compensation package)
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