Senior Application Architect-Azure
About The Position
At HCSC, our employees are the cornerstone of our business and the foundation to our success. We empower employees with curated development plans that foster growth and promote rewarding, fulfilling careers. Join HCSC and be part of a purpose-driven company that will invest in your professional development. Job Summary We are seeking a skilled Databricks System Specialist to design, implement, optimize, and support data platforms built on Databricks. This role focuses on managing large-scale data processing systems, ensuring performance, reliability, and scalability of data pipelines, and enabling advanced analytics and machine learning workloads.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, or related field (or equivalent experience)
- 3+ years of experience in data engineering or big data platforms
- Hands-on experience with Databricks and Apache Spark
- Strong programming skills in Python, SQL, and/or Scala
- Experience with cloud platforms (Azure preferred, but AWS or GCP acceptable)
- Understanding of data warehousing concepts and ETL/ELT processes
- Experience with distributed computing and large-scale data processing
- Familiarity with version control systems (e.g., Git)
- Bachelor degree and 5 years Information Technology experience OR Technical Certification and/or College Courses and 7 year Information Technology experience OR 9 years Information Technology experience.
Nice To Haves
- Databricks certifications (e.g., Databricks Certified Associate/Professional)
- Experience with Delta Lake and Lakehouse architecture
- Knowledge of data orchestration tools (e.g., Airflow, Azure Data Factory)
- Experience with machine learning workflows on Databricks
- Familiarity with infrastructure-as-code tools (e.g., Terraform)
- Product-specific application architecture.
- Ability to tie together solutions across systems.
Responsibilities
- Configure and manage Databricks workspaces, clusters, and jobs
- Optimize data workflows for performance, cost, and scalability
- Integrate Databricks with cloud platforms (Azure, AWS) and external data sources
- Monitor system performance and troubleshoot issues in production environments
- Implement data security, governance, and access controls
- Collaborate with data engineers, data scientists, and business stakeholders
- Support CI/CD pipelines for data and analytics solutions
- Maintain documentation for architecture, processes, and workflows
- Stay up to date with new Databricks features and best practices
Benefits
- health and wellness benefits
- 401(k) savings plan
- pension plan
- paid time off
- paid parental leave
- disability insurance
- supplemental life insurance
- employee assistance program
- paid holidays
- tuition reimbursement
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What This Job Offers
Job Type
Full-time
Career Level
Senior
