Data Architect

Responsibilities

• Design, implement, and maintain robust ETL/ELT processes to ingest, clean, and transform data from multiple sources
• Process and manage complex datasets to support business and analytical needs
• Conduct regular testing and enhancement of data pipelines to improve efficiency
• Implement best practices for data validation, testing, and monitoring, proactively identifying and resolving issues to maintain data integrity
• Collaborate with software engineers and AI/ML engineers to ensure seamless data accessibility
• Implement best practices for data governance, security, and quality assurance
• Document data architectures, lineage, and metadata to ensure transparency and reproducibility

• 5+ years of experience in data engineering, ETL development, or data warehousing
• Demonstrated ability to design and manage ETL/ELT processes using tools like Airflow, Luigi, or dbt to automate data workflows and transformations
• Experience with big data architectures and optimizing data pipelines
• Deep familiarity with SQL for data manipulation and querying
• Strong coding skills in Python, and at least one other language (Scala/Java)
• Hands-on experience with cloud-based data platforms (Azure/AWS/GCP)
• Strong analytical skills for working with large-scale unstructured datasets
• Ability to diagnose data issues, optimize performance, and communicate technical solutions effectively to both technical and non-technical stakeholders
• Educational qualifications:
  Bachelor’s degree in Computer Science, Engineering, or related field required