Senior Data Ops and Services Programmer in Canada at Jobgether

Database Administration and Optimization: Maintain, upgrade, and optimize existing database systems through performance tuning, hardware upgrades, version management, and continuous monitoring.

Data Pipeline Development: Design, build, and maintain reliable data pipelines for data ingestion, transformation, and processing, ensuring efficient and consistent data flows.

Database Infrastructure Management: Manage self-hosted database solutions and improve their performance, scalability, and reliability to support large-scale analytics and data warehousing.

Data Integration and Quality: Integrate data from multiple sources, maintain data integrity and consistency, and implement practices that support accurate and dependable data.

Security and Compliance: Ensure compliance with applicable government policies, data protection requirements, privacy standards, and GDPR regulations.

Architecture and Technical Strategy: Assess existing database architectures, identify opportunities for improvement, and recommend scalable solutions aligned with evolving organizational needs.

Cross-Functional Collaboration: Work closely with data scientists, analysts, developers, and other stakeholders to understand requirements and deliver effective data solutions.

Project and Team Leadership: Lead data infrastructure initiatives, define project timelines, coordinate cross-functional teams, monitor progress, and ensure deliverables are completed effectively.

Technical Mentorship: Share knowledge, guide team members, encourage collaboration, and promote best practices across data operations and engineering.

Continuous Improvement: Adapt to changing technical priorities and organizational constraints while supporting the evolution of data infrastructure and strategy.

Professional Experience: At least five years of relevant industry experience in data engineering, database administration, data operations, or a related technical field.

Database Expertise: Strong experience with PostgreSQL, MongoDB, and other relational and NoSQL database management systems.

Self-Hosted Infrastructure: Demonstrated experience setting up, administering, maintaining, and optimizing self-hosted database environments.

SQL and Operating Systems: Advanced proficiency in SQL and practical experience working in Linux/Unix environments.

Data Pipeline Orchestration: Hands-on experience with ETL orchestration tools such as Dagster or Apache Airflow.

Data Warehousing and Modeling: In-depth understanding of data warehousing principles, relational data modeling, and efficient data architecture.

Software Development Environments: Experience navigating and contributing to large codebases, with the ability to understand complex technical systems.

Project Management: Proven ability to lead technical projects, establish timelines, track progress, manage priorities, and deliver results.

Leadership and Collaboration: Demonstrated experience mentoring team members, coordinating multidisciplinary teams, and fostering a collaborative knowledge-sharing environment.

Analytical and Problem-Solving Skills: Strong technical judgment, attention to detail, and a proactive approach to troubleshooting, performance optimization, and infrastructure improvement.

Communication Skills: Ability to explain technical concepts clearly, collaborate with diverse stakeholders, and make informed recommendations.

Adaptability: Comfortable working in an evolving environment, managing competing priorities, and adjusting solutions to changing technical and organizational requirements.

Competitive Salary: Annual salary range of CAD $100,000–$115,000, depending on experience, skills, location, and other relevant factors.

Flexible Work Arrangements: Remote work opportunities, with the position also available in London, Ontario.

Comprehensive Benefits: Access to a competitive employee benefits package, subject to eligibility.

Career Development: Opportunities to expand technical expertise, lead impactful initiatives, and grow professionally.

Collaborative Environment: Work alongside talented professionals in an innovative, creative, and multidisciplinary setting.

Meaningful Technical Impact: Help build scalable data infrastructure that supports the development of engaging, large-scale gaming experiences.

Inclusive Workplace: Join an environment committed to diversity, accessibility, equal opportunity, and mutual respect.

Human-Led Recruitment: Applications are reviewed by qualified human recruiters, with AI tools used only for administrative interview support rather than candidate screening or selection.