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Senior Data Engineer, Databricks
Object Edge. Collaborate with data leaders to drive sales, recruiting, account management, consulting, and operational excellence .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Databricks and data engineering, providing strategic guidance on architecture and scalable analytics. Proven ability to lead large-scale data architecture projects and drive digital transformation initiatives.
Highest-signal resume keywords
Databricks ExpertiseData EngineeringCloud Data WarehousingBig Data PlatformsDatabricks Data Engineering Professional Certification
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ArchitectureData EngineeringBig Data PlatformsObject-Oriented ProgrammingNoSQL DatabasesAI/ML ToolsDelta LakeDelta Live TablesUnity CatalogCloud-Native Solutions
Soft Skills
LeadershipMentoringCollaborationStrategic DirectionClient Advisory
Tools & Technologies
DatabricksContainer Management SystemsModern Data PlatformsData Governance
Certifications & Qualifications
Databricks Data Engineering Professional Certification
Industry Keywords
Digital TransformationData StrategyMigration InitiativesProject Risk ManagementAccount Management
Tech Stack
Tools & technologiesCloudNoSQLUnity
About the role
Key responsibilities & impact- Collaborate with data leaders to drive sales, recruiting, account management, consulting, and operational excellence
- Lead Databricks Center of Excellence projects
- Act as a Databricks subject matter expert and support business development
- Guide clients on architecture, data engineering, and scalable analytics best practices
- Lead and manage project risk, including planning, budgeting, deliverables, and executive-level alignment
- Develop proposals, statements of work, and account-growth strategies
- Provide technical and architectural guidance on Databricks, modern data platforms, and cloud-native solutions
- Mentor team members and recommend emerging technologies and tools
- Develop and oversee large-scale data architecture projects using Databricks
- Provide strategic direction to engineering teams
- Advise clients on digital transformation and data strategy
- Lead Databricks implementation sales and pre-sales pursuits
- Lead large Databricks migration and modernization delivery engagements
Requirements
What you’ll need- Strong experience in data engineering or architecture
- Extensive hands-on experience with Databricks, including Delta Lake, Delta Live Tables, and Unity Catalog
- Mastery of Big Data Platforms, Cloud Data Warehouses, and Object-Oriented Programming
- Expertise in NoSQL Databases, Container Management Systems, and AI/ML tools
- Understanding of Databricks platform and governance capabilities
- Deep demonstrable industry experience designing data and AI platform solutions
- Experience delivering large-scale migration and modernization initiatives from legacy Data Warehouses to the Databricks Lakehouse platform
- Databricks Data Engineering Professional certification completed is ideal
- Experience leading multiple complex Databricks project deliveries
Benefits
Comp & perks- Employee wellbeing
- Equal employment opportunity and nondiscrimination protections
- Work environment free of unlawful discrimination and harassment