Note: The job is a remote job and is open to candidates in USA. HIKE2 is an advisory and innovation partner helping organizations design and build what’s next. They are seeking a Senior Databricks Engineer with deep experience in Databricks and modern data platforms to lead technical direction and build enterprise-grade data platforms and pipelines.
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
- 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)
- Demonstrated ability to mentor and guide data engineers and analysts
- 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
Skills
- 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)
Benefits
- Medical
- Dental
- Vision
- 401k
- Holiday pay
- Vacation
- Personal and family sick leave
Company Overview
Hike2 provides salesforce solutions, design strategy guidance, management and training, software implementations, and data integrations. It was founded in undefined, and is headquartered in Pittsburgh, Pennsylvania, USA, with a workforce of 51-200 employees. Its website is https://hike2.com/.