Senior DataOps Engineer
Exadel
Job Overview
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Job Description
Why Join Exadel
Exadel is an AI-first global tech company with over 25 years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, Exadel partners with enterprise leaders to build what’s next. The company's culture is powered by ambitious, collaborative, and constantly evolving people.
About The Client
The client is a leading health and fitness software and payment processing provider in the United States, Puerto Rico, Canada, and Mexico. Founded in 1981, they currently partner with over 7,000 health clubs, offering gym management solutions, membership tracking, scheduling, and automated payment processing functions.
What You’ll Do as a Senior DataOps Engineer
- Support the migration from Synapse to Databricks by building and maintaining robust infrastructure and deployment pipelines.
- Automate provisioning, configuration, and monitoring of Databricks environments across multiple data streams.
- Ensure smooth CI/CD processes for data engineering workloads, including initial data load automation, deployment of data marts and consumption layers, and integration with reporting and Power BI solutions.
- Collaborate with Data Engineers, product teams, and business stakeholders to ensure reliable and secure data delivery.
- Optimize system performance, scalability, and cost-efficiency in cloud environments.
- Implement monitoring, alerting, and logging solutions to maintain system health and reliability.
- Write and maintain Infrastructure as Code (IaC) for repeatable, version-controlled deployments.
- Troubleshoot and resolve environment, pipeline, and integration issues efficiently.
- Stay current with DevOps best practices and emerging technologies in the cloud and data ecosystem.
What You Bring
- 5+ years of professional experience in DevOps, cloud infrastructure, and automation.
- Strong hands-on experience with Azure and Databricks environments.
- Proficiency with Infrastructure as Code tools (e.g., Terraform, ARM templates, Bicep, or similar).
- Solid scripting and automation skills in Python, Bash, or PowerShell.
- Familiarity with CI/CD pipelines (Azure DevOps, GitHub Actions, or similar) for data engineering workflows.
- Knowledge of containerization and orchestration (Docker, Kubernetes is a plus).
- Experience implementing monitoring and observability tools (Azure Monitor, Prometheus, Grafana, etc.).
- Strong understanding of cloud security, governance, and cost optimization practices.
- Competency in collaborating with engineers to ensure stable, scalable, and maintainable solutions.
- Experience working in agile teams using SCRUM methodologies.
- Upper-Intermediate English level.
Legal & Hiring Information
Exadel is an Equal Opportunity Employer. Reasonable accommodations are available for individuals with disabilities. This job description may evolve based on business needs.
Your Benefits at Exadel
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
Exadel fosters a culture of trust, respect, and purpose, emphasizing open dialogue, creative freedom, and mentorship. It's a place where ideas are challenged, voices are heard, and individual impact truly matters.
Key skills/competency
- DevOps
- Azure
- Databricks
- Infrastructure as Code (IaC)
- CI/CD
- Python
- Cloud Security
- Automation
- Monitoring
- Data Engineering
How to Get Hired at Exadel
- Research Exadel's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Customize your resume to highlight DevOps, Azure, Databricks, and CI/CD experience, using keywords from the Senior DataOps Engineer job description.
- Showcase your portfolio: Prepare examples of your Infrastructure as Code (IaC) projects, automation scripts (Python/Bash), and contributions to cloud migration efforts.
- Prepare for technical depth: Brush up on Azure services, Databricks best practices, and data pipeline optimization, as these are critical for a Senior DataOps Engineer.
- Emphasize collaboration & agility: Highlight your experience in agile (SCRUM) environments and your ability to collaborate effectively with data engineers and stakeholders for successful project delivery.
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