HIKE2 is looking for a Senior Data Engineer with deep experience in Databricks and modern data platforms, particularly in large, complex enterprise environments. This is a hands-on role for someone who has built and delivered data solutions at scale, ideally in greenfield settings, and is comfortable working with Fortune 500 clients. You'll be expected to lead technical direction, make sound architectural decisions, and support the growth of other engineers on the team.
You'll work closely with clients and internal teams to design and implement enterprise-grade data platforms and pipelines from the ground up. This role requires someone who can operate across the full lifecycle from early architecture and design through delivery and optimization, while keeping solutions practical, reliable, and aligned with business needs.
What You'll Do- 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)
- Demonstrated ability to mentor and guide data engineers and analysts
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
Desired Skills and Experience:- 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).
The salary range for this position is: $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. This range is exclusive of any bonuses or commissions. HIKE2 offers a wide range of benefits which may include medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more.
Don't meet every requirement? As an innovation consultancy, we recognize that talent is not always related to job history and skills come from valuable experiences that aren't always shown on a resume. If you are excited to make a positive impact, but your experience doesn't align perfectly, we encourage you to apply. You may be the right candidate for our organization, whether it be this role or another.
