Senior Databricks Engineer

About the role

HIKE2 is an advisory and innovation partner helping organizations design and build what’s next. We work with complex and regulated industries, including law firms, financial services, insurance, professional services, and high-growth SaaS companies, to modernize operating models and embed data, automation, and AI into the core of how work gets done.

Responsibilities

• Design and build large-scale data platforms on Databricks (Delta Lake, Spark, Unity Catalog) in Azure
• Develop and maintain batch and streaming data pipelines for high-volume, complex data sources
• Implement medallion/lakehouse architectures from the ground up in greenfield environments
• Build and optimize data models to support analytics, reporting, and downstream applications
• Integrate Databricks with enterprise systems (APIs, event streams, warehouses, ML workflows)
• Tune Spark jobs and pipelines for performance, reliability, and cost at scale
• Support production deployments, including CI/CD pipelines, testing, and release management

How You’ll Work

• Partner directly with enterprise clients to translate requirements into working technical solutions
• Collaborate with architects, engineers, and data scientists across multiple workstreams
• Balance speed and quality, knowing when to move fast and when to harden solutions
• Make pragmatic decisions in ambiguous, evolving environments (especially greenfield builds)
• Contribute hands-on while also guiding design and approach across the team
• Communicate tradeoffs clearly to both technical and non-technical stakeholders
• Work within modern engineering practices (version control, code reviews, automated testing)

What You’ll Own

• End-to-end delivery of Databricks-based data solutions—from design through production support
• Technical direction and key architecture decisions for large-scale implementations
• Data pipeline reliability, monitoring, and incident response in production environments
• Performance and cost efficiency of workloads running in Databricks and Azure
• Data quality, governance alignment, and adherence to enterprise security standards
• Reusable patterns, frameworks, and standards for scaling future implementations
• Mentorship and technical development of other engineers on the team

Job Requirements

• Deep Databricks-native expertise, including experience architecting and implementing end-to-end lakehouse solutions that run primarily or entirely on Databricks.
• Advanced experience with modern Databricks architecture patterns, including declarative pipelines / Delta Live Tables, Unity Catalog, Delta Lake, workflow orchestration, governance, performance tuning, and operational monitoring.
• Familiarity with infrastructure-as-code (Terraform, Bicep), environment provisioning, and CI/CD automation (Github, Azure DevOps) for Databricks-based platforms.
• Strong learning agility, technical curiosity, and comfort using AI-enabled development workflows or automation tools to accelerate delivery and improve quality.
• Familiarity with other modern cloud data architectures and tools, including cloud-native data warehouses (Snowflake, BigQuery, Redshift), data lakes, orchestration frameworks (Airflow/Astronomer), transformation tools (dbt), catalog/governance platforms, and scalable batch or streaming data processing services (Kafka, Kinesis).

Salary Range

$135,000-185,000K. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws.

Benefits

Hike2 offers a wide range of benefits which may include medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more.

Accommodation Statement

We are committed to providing reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs throughout the hiring process. If you require an accommodation to complete the application or participate in the interview process, please let us know.

EEO Statement

We are an equal opportunity employer and are committed to creating an inclusive environment for all employees and applicants. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, national origin, age, disability, genetic information, protected veteran status, marital status, or any other status protected by applicable federal, state, or local law.