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Senior Architect – Data Engineering, Databricks
Object Edge. Collaborate with data leaders across sales, recruiting, account management, consulting, and operations .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive expertise in Databricks, data engineering, and architecture, with a strong focus on leading large-scale data architecture projects and guiding clients on digital transformation strategies. Proven ability to mentor teams and provide strategic direction while managing project risks and deliverables.
Highest-signal resume keywords
Databricks ExpertiseData EngineeringDelta LakeCloud Data WarehousingAI/ML Tools
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 ArchitectureBig Data PlatformsObject-Oriented ProgrammingNoSQL DatabasesContainer Management SystemsData MigrationData Strategy DesignScalable AnalyticsProject Risk ManagementBudgeting
Soft Skills
CollaborationMentoringStrategic DirectionClient AdvisoryExecutive Alignment
Tools & Technologies
DatabricksDelta Live TablesUnity CatalogCloud-Native SolutionsModern Data Platforms
Certifications & Qualifications
Databricks Data Engineering Professional
Industry Keywords
Digital TransformationData GovernanceData Engineering Best PracticesAccount Growth StrategiesSales Solution Lead
Tech Stack
Tools & technologiesCloudNoSQLUnity
About the role
Key responsibilities & impact- Collaborate with data leaders across sales, recruiting, account management, consulting, and operations
- Lead Databricks projects as part of the Databricks Center of Excellence
- Act as a Databricks subject matter expert and support business development
- Guide clients on architecture, data engineering, scalable analytics, and Databricks best practices
- Lead and manage project risk, 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, Delta Lake, Delta Live Tables, and Unity Catalog
- Provide strategic direction to engineering teams
- Advise clients on digital transformation and data strategy
- Lead Databricks implementation sales and pre-sales pursuits as Sales Solution Lead or Lead Architect
- Lead large Databricks migration and modernization delivery engagements as Delivery Solution Lead
Requirements
What you’ll need- 10+ years of experience in data engineering or architecture
- Minimum of 6+ years of extensive hands-on experience with Databricks
- Experience with 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
- Experience designing data and AI platform solutions
- Experience delivering large-scale migration and modernization initiatives from legacy Data Warehouses to Databricks Lakehouse platform
- Databricks Data Engineering Professional certification completed is ideal
- Experience leading multiple complex Databricks project deliveries
Benefits
Comp & perks- Employee wellbeing focus
- Mentorship and thought-leadership opportunities
- Opportunity to work with a growing Databricks Center of Excellence
- Collaboration with global teams and clients
- Recognition as a great place to work, including Fortune’s 100 Best Companies to Work for recognition