FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing large-scale data architectures using Databricks, Delta Lake, and related technologies. Proven ability to lead data engineering teams, manage complex projects, and align data strategies with business objectives.
Highest-signal resume keywords
Databricks Platform ExpertiseDelta Lake ArchitectureData Engineering LeadershipTechnical Pre-Sales ExperienceAdvanced English Proficiency
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 EngineeringData ArchitectureDelta Live TablesUnity CatalogApache IcebergNoSQL DatabasesObject-Oriented ProgrammingBig Data PlatformsCloud Data WarehousesAI/ML Tools
Soft Skills
Effective CommunicationMentoringStrategic Consulting
Tools & Technologies
DatabricksDelta LakeLakehouse ArchitectureContainer Management Platforms
Certifications & Qualifications
Databricks Certified Data Engineer Professional
Industry Keywords
Data GovernanceData QualityData SecurityTechnical ProposalsMigration Initiatives
Tech Stack
Tools & technologiesApacheCloudNoSQLUnity
About the role
Key responsibilities & impact- Design, lead, and oversee large-scale data architectures using Databricks and its core capabilities.
- Serve as a Databricks Subject Matter Expert (SME), advising clients and teams on architecture, data engineering, governance, and scalable analytics.
- Develop architecture strategies using Delta Lake, Delta Live Tables, Unity Catalog, and Apache Iceberg.
- Lead migration and modernization initiatives from legacy Data Warehouse environments to Databricks Lakehouse platforms.
- Define technical standards, best practices, and strategies for data governance, security, quality, and performance.
- Lead teams of architects and data engineers, fostering technical and strategic alignment with project objectives.
- Support pre-sales and business development initiatives by contributing to technical proposals, estimates, Statements of Work (SOWs), and architectural solutions.
- Provide technical leadership for data platform implementation, modernization, and transformation projects.
- Manage risks, planning, budgets, deliverables, and alignment with executive stakeholders.
- Act as a strategic consultant to clients, identifying opportunities for innovation and technological advancement.
- Mentor professionals and share knowledge of emerging technologies, data architecture, and AI/ML solutions.
Requirements
What you’ll need- Extensive experience in Data Engineering and Data Architecture, with a track record of working on highly complex projects.
- Advanced proficiency and hands-on experience with the Databricks platform.
- Proven experience with Delta Lake, Delta Live Tables (DLT), Unity Catalog, Lakehouse Architecture, Apache Iceberg, and table format interoperability.
- Experience designing Big Data Platforms and Cloud Data Warehouses.
- Advanced knowledge of NoSQL databases.
- Strong understanding of Object-Oriented Programming (OOP) concepts.
- Knowledge of container management platforms.
- Familiarity with Artificial Intelligence and Machine Learning (AI/ML) tools and technologies.
- Experience defining data and AI architectures aligned with business needs and strategies.
- Consistent track record of leading data platform implementation, migration, and modernization projects.
- Experience migrating traditional Data Warehouses to modern Databricks Lakehouse-based architectures.
- Databricks Certified Data Engineer Professional certification is a plus.
- Experience leading multiple complex Databricks implementation projects is a plus.
- Experience in technical pre-sales, proposal development, and architectural solution design is a plus.
- Experience as a Lead Architect, Delivery Solution Lead, or Sales Solution Lead is a plus.
- Experience working on international projects and in technology consulting environments is a plus.
- Ability to communicate effectively with executives, clients, and multidisciplinary technical teams is a plus.
- Advanced English proficiency is an important advantage for working in a global environment.
Benefits
Comp & perks- 100% Remote
- Contract position
- Advanced English proficiency is an important advantage for working in a global environment
