
Data Architect
2 days ago
We are looking for a skilled data architect with expertise in building scalable data pipelines, implementing CI/CD practices, and utilizing modern DevOps tools.
About the Role:
- We are seeking an experienced professional to design and implement efficient data architectures, ensuring seamless integration of data systems.
- The ideal candidate should have hands-on experience in building and automating data pipelines using Python, SQL, and Databricks (Spark).
- Strong knowledge of GitHub and CI/CD practices is essential for this role.
Key Responsibilities:
- Design, implement, and manage CI/CD pipelines using GitHub Actions or equivalent tools.
- Configure and maintain GitHub branch protection rules and workflows to ensure smooth code integration and deployment.
- Build, optimize, and debug Spark jobs in Databricks for large-scale data processing.
- Automate Databricks deployments using Databricks Asset Bundles (DABs) or similar frameworks.
- Develop, test, and maintain robust data pipelines using Python and SQL.
- Implement unit testing, validation, and quality checks for data workflows.
- Manage multi-environment deployments (Dev, Stage, Prod) ensuring reliability and consistency.
- Troubleshoot and resolve configuration or syntax issues in YAML and related files.
- Keep critical Databricks notebooks running reliably to ensure business continuity.
- Migrate legacy reports into modern, self-serve dashboards (Snowflake, Tableau, Power BI).
- Partner with cross-functional teams to understand needs and deliver data models, insights, and reporting they can trust.
- Put guardrails in place with data contracts, quality checks, and documentation to ensure long-term reliability.
Required Skills and Qualifications:
- Strong skills in SQL, Databricks (Spark), and Python/R.
- Strong knowledge of GitHub and CI/CD practices (branch protection, GitHub Actions workflows).
- Experience in implementing unit tests and quality checks in data workflows.
- Knowledge of Databricks Asset Bundles (DABs) or similar automation tools.
- Familiarity with YAML configuration management, debugging, and error resolution.
- Strong problem-solving and debugging skills in data engineering workflows.
- Experience with Snowflake or another cloud data warehouse.
- Hands-on experience with Tableau/Power BI dashboards and a good sense for usability.
Benefits:
- Opportunity to work with cutting-edge technologies.
- Collaborative and dynamic work environment.
- Professional development and growth opportunities.
About Us:
We are a innovative company dedicated to delivering high-quality solutions. Our team is passionate about data engineering and committed to excellence.
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