Billigence

Data Engineer

• Design and implement end-to-end data architecture leveraging Snowflake and Matillion for data ingestion, transformation, and storage.
• Define and maintain data modeling standards, data flows, and architecture best practices (dimensional, normalized, star/snowflake schemas).
• Lead the evaluation and adoption of tools in the modern data stack, ensuring alignment with business goals and future scalability.
• Collaborate with data engineers, analysts, and stakeholders to define data requirements and create robust data pipelines.
• Ensure data security, access controls, and compliance with governance frameworks (e.g., GDPR, HIPAA, SOC 2).
• Optimize performance of Snowflake through clustering, caching, query tuning, and cost management.
• Oversee data integration strategies from multiple sources (APIs, databases, flat files, third-party platforms).
• Establish data quality and metadata management practices across platforms.
• Act as a subject matter expert and provide guidance on Matillion orchestration, reusable job frameworks, and job performance optimization.

Data Architect