REQUIRED SKILLS EXPERIENCE:

• 8 years of experience in data architecture, ETL development, and solution design.
• Strong hands-on experience with ETL tools (e.g., Informatica, Talend, Apache NiFi, Azure Data Factory).
• Proficiency in cloud data platforms (Azure, AWS, GCP).
• Solid understanding of data ingestion frameworks, data lakes, and data warehousing.
• Expertise in SQL, Python, or Scala for data processing and transformation.
• Familiarity with streaming technologies (e.g., Kafka, Spark Streaming).
• Strong communication and stakeholder management skills.

Nice to Have:

• Experience working with Order and Trade data in financial services or capital markets.
• Knowledge of industry best practices for handling financial transaction data.
• Understanding of regulatory compliance and data privacy in financial domains.

Competencies: Amazon Web Service (AWS) Cloud Computing, Python for Data Science, Informatica CDI (Cloud Data Integration)
Experience (Years): 4-6
Job Types: Full-time, Fixed term contract
Work Location: Hybrid remote in Toronto, O

ROLE DESCRIPTION:

• We are looking for a seasoned Technical Architect with deep expertise in ETL design, data ingestion architecture, and end-to-end solutioning.
• The ideal candidate will be responsible for designing scalable and efficient data solutions, driving best practices across the data lifecycle, and contributing to strategic initiatives.
• Experience with Order and Trade data is a plus.

KEY RESPONSIBILITIES:

• Lead the design and architecture of data ingestion and ETL pipelines across multiple platforms.
• Define and implement solutioning strategies for complex data integration and transformation use cases.
• Collaborate with cross-functional teams to gather requirements and translate them into technical designs.
• Establish and promote best practices in data engineering, including data quality, governance, and performance optimization.
• Architect solutions for real-time and batch data ingestion using modern data platforms and tools.
• Ensure alignment with enterprise architecture standards and data security policies.
• Provide technical leadership and guidance to development teams throughout the project lifecycle.
• Document architecture decisions, data flow diagrams, and integration patterns.