Machine Learning/Data Engineering - Learning Architect

Key Skills

Big Data Technology, Data Engineering, Databricks, Leadership Skill, Machine learning techniques, Python Programming, SPARK Programming, SQL

Job Description

The impact you will have:

• Function as a company-wide thought leader and subject-matter-expert on Databricks
• Provide technical leadership to guide enablement initiatives across the Databricks landscape
• Work with subject-matter-experts and learning architects to scope needs for enablement material
• Grow technically in areas such as lakehouse technology, big data streaming, and big data ingestion and workflows by working regularly in the Databricks DI Platform

What we look for:

• Passion/experience for sharing knowledge and expertise to enable others
• 5+ years experience in a technical role with expertise in at least one of the following:
• Experience maintaining and extending production data systems to evolve with complex needs
• Expertise in scaling big data workloads (such as ETL) that are performant and cost-effective and large-scale data ingestion pipelines and data migrations - including CDC and streaming ingestion pipelines
• Expert with cloud data lake technologies such as Delta
• Bachelor's degree in Computer Science, Information Systems, Engineering, in a quantitative discipline, or equivalent experience through work experience
• Production programming experience in SQL and Python
• Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
• Passion for collaboration, life-long learning, and driving business value through ML
• [Preferred] Experience working with Apache Spark to process large-scale distributed datasets

Benefits

• 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)

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents 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 utilizes 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 3 Pay Range

$113,300—$200,400 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, LinkedIn and Facebook.

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.