Mid Data Architect

• Proven experience working as a Data Architect.

• Strong understanding of data architecture, data platforms, and modern data engineering practices.

• Experience designing and leading the architecture of scalable, secure, and high-performance data platforms and data pipelines.

• Experience with architectural patterns for data ingestion, transformation, processing, storage, and consumption.

• Advanced Python programming skills.

• Strong SQL development and optimization skills.

• Strong experience with Apache Spark / PySpark.

• Experience designing and implementing scalable ETL/ELT data pipelines.

• Experience working with large datasets and distributed data processing.

• Ability to troubleshoot and optimize data processing workloads.

Nice to have:

• Databricks/cloud experience would be a plus.

• Experience with Snowflake.

• Experience with AI Agents and Code AI tools like Claude.

• Experience with AWS data services and cloud environments.

• Experience with Google Cloud Platform (GCP).

• Experience with dbt and modern ELT/data transformation practices.

• Familiarity with cloud-based data lakehouse architectures.

• Experience implementing CI/CD and automated testing for data pipelines.

Soft Skills:

• Strong problem-solving and debugging skills.

• Ability to work independently and take ownership of projects.

• Strong communication skills with the ability to articulate, diagram and document complex

engineering concepts.