Data Architect
Descrizione dell'offerta
RED GLOBAL- DATA ARCHITECT-REMOTE-ASAP START-6MONTHS+
Please find the details below;
- Role: Data Architect
- Start: ASAP
- Duration: 6months+
- Capacity: 5 days per week
- Location: Remote - Italy
- Language: English
JD:
We are looking for an experienced Data Architect with strong expertise in Python, PySpark, and Azure where you will play a key role in designing, developing, and optimizing data solutions that handle billions of rows of structured financial data.
Responsibilities
- Design and implement scalable data architectures leveraging Azure Databricks, PySpark, and Delta Lake.
- Develop complex data integration pipelines with transformations, modeling, and business logic for structured financial data.
- Apply medallion architecture best practices for data ingestion, curation, and serving.
- Collaborate with data engineers, analysts, and stakeholders to deliver business-critical data products.
- Ensure software quality through automated testing, code reviews, and adherence to SDLC practices.
- Optimize data pipelines for performance, scalability, and cost efficiency on Azure.
- Mentor junior engineers and contribute to architectural decision-making.
Skills needed:
- 8+ years of overall experience in software/data engineering, with at least 5 years in software development.
- Strong expertise in Python with proven software engineering skills.
- Minimum 2+ years of hands-on PySpark experience, including developing applications using IDEs such as VS Code or PyCharm.
- Solid experience working with Delta Lake tables and relational data models (SQL).
- Proven track record in building and optimizing large-scale data pipelines and processing frameworks.
- Preferably experience with the Azure Databricks platform.
- Strong analytical and problem-solving skills, with the ability to break down complex problems into achievable steps.
- Self-starter with a strong work ethic and collaborative mindset.
If you are interested and available, please apply or send an email to for immediate consideration.