[Remote] Senior Databricks Engineer

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.ResponsibilitiesDesign and build large-scale data platforms on Databricks (Delta Lake, Spark, Unity Catalog) in AzureDevelop and maintain batch and streaming data pipelines for high-volume, complex data sourcesImplement medallion/lakehouse architectures from the ground up in greenfield environmentsBuild and optimize data models to support analytics, reporting, and downstream applicationsIntegrate Databricks with enterprise systems (APIs, event streams, warehouses, ML workflows)Tune Spark jobs and pipelines for performance, reliability, and cost at scaleSupport production deployments, including CI/CD pipelines, testing, and release managementPartner directly with enterprise clients to translate requirements into working technical solutionsCollaborate with architects, engineers, and data scientists across multiple workstreamsBalance speed and quality, knowing when to move fast and when to harden solutionsMake pragmatic decisions in ambiguous, evolving environments (especially greenfield builds)Contribute hands-on while also guiding design and approach across the teamCommunicate tradeoffs clearly to both technical and non-technical stakeholdersWork within modern engineering practices (version control, code reviews, automated testing)Demonstrated ability to mentor and guide data engineers and analystsEnd-to-end delivery of Databricks-based data solutions—from design through production supportTechnical direction and key architecture decisions for large-scale implementationsData pipeline reliability, monitoring, and incident response in production environmentsPerformance and cost efficiency of workloads running in Databricks and AzureData quality, governance alignment, and adherence to enterprise security standardsReusable patterns, frameworks, and standards for scaling future implementationsMentorship and technical development of other engineers on the teamSkillsDeep Databricks-native expertise, including experience architecting and implementing end-to-end lakehouse solutions that run primarily or entirely on DatabricksAdvanced experience with modern Databricks architecture patterns, including declarative pipelines / Delta Live Tables, Unity Catalog, Delta Lake, workflow orchestration, governance, performance tuning, and operational monitoringFamiliarity with infrastructure-as-code (Terraform, Bicep), environment provisioning, and CI/CD automation (Github, Azure DevOps) for Databricks-based platformsStrong learning agility, technical curiosity, and comfort using AI-enabled development workflows or automation tools to accelerate delivery and improve qualityFamiliarity 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)BenefitsMedicalDentalVision401kHoliday payVacationPersonal and family sick leaveCompany OverviewHike2 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/.