Staff Software Engineer, Data Platform in Canada Creek, Nova Scotia at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff Software Engineer, Data Platform in Canada.

This is a unique opportunity to join a high-impact engineering team building a next-generation intelligent data platform for the private markets industry. In this role, you will help shape the architecture and core infrastructure powering advanced data ingestion, normalization, enrichment, and distribution systems at scale. Working at the intersection of modern data engineering and applied AI, you will contribute directly to foundational platform capabilities while influencing technical standards and long-term engineering strategy. The environment is fast-paced, collaborative, and innovation-driven, with strong ownership and autonomy from day one. This position is ideal for a hands-on technical leader who enjoys solving complex data challenges and leveraging AI-native development workflows to accelerate delivery and quality. You’ll collaborate with senior engineers, product leaders, and cross-functional teams to build scalable systems that redefine operational efficiency in financial technology.

• Design, develop, and maintain core data platform components including schema mapping, data normalization, validation, enrichment, and downstream data distribution pipelines.
• Own end-to-end technical delivery from architecture and implementation through deployment, monitoring, and long-term reliability improvements.
• Build scalable ETL/ELT workflows and intelligent data processing systems for institutional-grade financial datasets.
• Contribute to the design of AI-powered evaluation frameworks that improve the trustworthiness and validation of machine-generated outputs.
• Establish and promote engineering best practices, coding standards, review processes, and technical documentation across the team.
• Collaborate closely with engineering, product, and cross-functional stakeholders to translate complex business requirements into scalable technical solutions.
• Drive architectural decisions around APIs, data models, infrastructure, and distribution strategies with a focus on scalability and maintainability.
• Mentor engineers and provide technical guidance as the organization and platform capabilities continue to grow.
• Leverage AI-assisted and agentic development tools as part of daily engineering workflows to improve speed, efficiency, and software quality.

• 7+ years of software engineering experience with demonstrated ownership of large-scale, production-grade systems.
• Strong hands-on expertise in data platform engineering, including schema design, data warehousing, ETL/ELT pipelines, and distributed data processing.
• Proven experience building and deploying backend systems and APIs in cloud-native environments.
• Practical experience integrating and operationalizing LLMs, AI-assisted workflows, or intelligent automation systems in production environments.
• Strong knowledge of AWS-based data infrastructure; experience with Redshift or similar technologies is considered an asset.
• Experience working with AI-native or agentic software development practices and tooling.
• Ability to make sound architectural decisions balancing scalability, maintainability, and rapid execution.
• Excellent written and verbal communication skills with the ability to clearly document technical designs and collaborate across teams.
• Experience with RAG pipelines, vector databases, document extraction systems, or financial services data is a strong advantage.
• Demonstrated leadership capabilities with experience mentoring engineers or influencing technical direction within high-growth environments.

• Competitive compensation package including base salary and equity
• Comprehensive health, dental, and vision coverage for employees and families
• Life insurance and mental wellness support programs
• Fertility, family planning, and growing family assistance
• Flexible paid time off and company-paid holidays
• Paid parental leave, medical leave, and bereavement support
• Retirement savings plans
• Home office and technology setup allowance
• Annual professional development stipend
• Flexible remote-first work environment with global collaboration opportunities.