Data Architect

• About the Role: We're seeking a strategic and hands-on Data Architect to design and implement scalable, secure, and modern data solutions across our organization. You'll play a critical role in leading the modernization of our data ecosystem using dbt, building a foundation for real-time analytics and enterprise-scale reporting in the cloud.

Responsibilities

• Architect and evolve our data platform.

• Design and implement batch and streaming pipelines, ensuring scalability and cost-efficiency in AWS.

• Establish best practices for data modeling, warehouse schema design, and semantic layer standardization using dbt.

• Define and enforce data governance, security, and privacy policies in alignment with compliance frameworks.

• Lead data migration from legacy sources to AWS; work closely with DevOps to automate and secure deployment processes.

• Collaborate with engineering, product, and business stakeholders to understand data needs and align solutions with business goals.

• Mentor and guide data engineers; support code reviews, architectural reviews, and team upskilling.

Qualifications:

• 8+ years in data architecture, with deep experience owning a modern data platform end to end: pipelines, storage, modelling, governance, monitoring.

• Expertise in data modeling (3NF, star), ELT/ETL design, and performance tuning.

• Solid understanding of AWS services (S3, Glue, Lambda, Redshift, Kinesis, etc.).

• Strong programming in SQL and Python; experience with CI/CD and data testing in dbt.

• Knowledge of data governance, lineage, metadata management, and data quality frameworks.

• Experience working with streaming technologies (Kafka, Kinesis) and large-scale datasets.

• Has modernised platforms and run migrations while keeping live systems running.

• Brings documentation, data quality, observability and testing as a default while balancing scalability, performance, maintainability and cost.

• Designs architecture and makes the technology calls, not just implements them. Sets common patterns and standards across application teams.

• Works comfortably across both engineering and business.

• Preferred Skills:

• Experience in platform modernization and cloud migration projects.

• Familiarity with tools like Airflow, Terraform, Great Expectations, or Monte Carlo.

• About the Company: The BlueMatrix team is made up of ambitious and passionate people who have turned technology development and client service into an art. Many have dedicated the majority of their career to growing the BlueMatrix brand and helping shape the investment research marketplace. With locations in Toronto, New York City, Durham, London, Edinburgh, and Timisoara, Romania, we collaborate across the globe for a unique perspective on the impact of technology in our industry.

BlueMatrix develops-of-a-kind web applications for the authoring, distribution, and analysis of investment research, and for internal knowledge management and digital communications. Our mission is to streamline the publishing process on a global scale.

• 8+ years in data architecture, with deep experience owning a modern data platform end to end: pipelines, storage, modelling, governance, monitoring.
• Expertise in data modeling (3NF, star), ELT/ETL design, and performance tuning.
• Solid understanding of AWS services (S3, Glue, Lambda, Redshift, Kinesis, etc.).
• Strong programming in SQL and Python; experience with CI/CD and data testing in dbt.
• Knowledge of data governance, lineage, metadata management, and data quality frameworks.
• Experience working with streaming technologies (Kafka, Kinesis) and large-scale datasets.
• Has modernised platforms and run migrations while keeping live systems running.
• Brings documentation, data quality, observability and testing as a default while balancing scalability, performance, maintainability and cost.
• Designs architecture and makes the technology calls, not just implements them. Sets common patterns and standards across application teams.
• Works comfortably across both engineering and business.