Databricks Data Engineer
Job Location:
Boulder, CO - USA
Monthly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
- As a Databricks Data Engineer you will work directly with clients across multiple industries to design implement and optimize Databricks-based data solutions
- You will be a key member of our Professional Services delivery teams delivering high-quality projects on time and within scope while building strong client relationships
This is a client-facing role that combines hands-on technical delivery with consulting best practices
Key Responsibilities
- Lead and contribute to end-to-end Databricks implementations for clients including data migration Lakehouse architecture and pipeline development
- Gather technical requirements design solutions and present recommendations to client stakeholders (technical and business)
- Build scalable ETL/ELT pipelines using PySpark Delta Lake Delta Live Tables (DLT) and Databricks Workflows
- Design and implement Databricks Genie
- Design and implement semantic layers
- Use Databricks AI features to accelerate development debugging and code optimization
- Design and implement Lakebase architectures for operational and analytical workloads including transactional data use cases
- Develop solutions using SDLC best practices including modular code design testing and documentation
- Use Git based version control with proper branching strategies
- Implement CI/CD pipelines for Databricks asset
- Implement data quality checks validations and expectations within workflows
- Design and implement Unity Catalog governance security and lineage solutions
- Optimize Databricks workloads for performance cost and reliability (Photon cluster policies Liquid Clustering Auto Loader etc.)
- Integrate Databricks with client ecosystems (Azure AWS GCP Snowflake Kafka legacy systems etc.)
- Support client workshops proof-of-concepts (POCs) and knowledge transfer sessions
- Collaborate with client data teams to ensure successful adoption and handover of solutions
- Deliver projects following consulting methodologies while meeting quality timeline and budget expectations
- Document architectures runbooks and best practices for client use
Participate in solutioning activities (scoping estimation technical demos) as needed
Requirements (Must-Have)
- 3 -5 years of hands-on Databricks experience (or strong Spark experience with significant recent Databricks work)
- Proven experience delivering Databricks projects in a consulting or professional services environment (preferred) or equivalent client-facing project delivery
- Strong proficiency in PySpark Spark SQL Python and SQL
- Deep experience with Delta Lake Unity Catalog Delta Live Tables and Databricks Jobs
- Hands-on experience with Git version control pull requests code reviews and collaborative development workflows
- Cloud platform experience (Azure Databricks AWS or GCP - at least one)
- Excellent client-facing and communication skills - able to explain complex concepts to both technical and non-technical audiences
- Solid understanding of data governance security and Lakehouse best practices
Bachelors degree in Computer Science Engineering or related field (or equivalent experience)
Nice-to-Haves
- Databricks certifications (Data Engineer Associate / Professional Lakehouse etc.)
- Experience with dbt Airflow Terraform Databricks Asset Bundles (DABs) or MLflow
- Background in specific industries (Financial Services Healthcare Retail Manufacturing etc.)
- Experience with large-scale data migrations or legacy system modernization
Knowledge of streaming (Spark Structured Streaming / Kafka) and real-time analytics
Skills & Qualities
- Strong consulting mindset: ownership adaptability and client success focus
- Excellent problem-solving analytical and presentation skills
- Ability to work independently and as part of a delivery team
- High emotional intelligence and stakeholder management ability
Commitment to delivering exceptional client outcomes
What We Offer
Datavail is one of the largest data focused services company in North America and provides both professional and managed services and expertise in Database Management Application Development and Management Cloud & Infrastructure Management Packaged Applications and BI/Analytics
Required Experience:
IC
About Company
Datavail is a leading provider of data management, application development, analytics, and cloud services, with more than 1,000 professionals helping clients build and manage applications and data via a world-class tech-enabled delivery platform and software solutions across all leadi ... View more
