Ready to transform data infrastructure in a fast-paced, evolving environment? This role offers the chance to design and implement modern data solutions using cutting-edge technology.
What You’ll Be Doing:
- Partnering with cloud engineers to design and implement Azure-based resources for development, QA, UAT, and production.
- Analyzing business and technical requirements to deliver sophisticated conceptual, logical, and physical data models.
- Preparing detailed data-flow schematics, highlighting the pros and cons of various design patterns.
- Designing and building data validations, transformations, normalizations, reports, extracts, and integration processes using the Azure tech stack.
- Creating and implementing CI/CD pipelines to streamline development workflows.
- Organizing work using Agile techniques and maintaining thorough work tracking.
What We’re Looking For:
- 8-10 years of experience delivering large-scale, complex data platform projects.
- Advanced knowledge of SQL and Python.
- Proficiency in Azure Data Environment, including Synapse, Databricks, Data Factory, and Azure DevOps.
- Expertise in data modeling tools and advanced data modeling techniques.
- Strong collaboration skills, with the ability to communicate effectively with both technical and business teams.
- Excellent time management and documentation skills.
Bonus Points For:
- Successful track record with modern data platform implementations (data lakes, data lakehouses, logical data warehouses, etc.).
- Confidence in building and presenting data-flow schematics understandable to both business and technical audiences.
- Perseverance, empathy, and respect for team contributions.
Education:
Bachelor’s degree or equivalent experience.
If you’re passionate about data architecture and ready to drive impactful solutions, apply now to join a dynamic team that values innovation and collaboration.