[Hiring] Senior Data & Business Intelligence Engineer @Harris Computer

Role Description

Systems & Software, a division of Harris, is seeking a Senior Data and Business Intelligence Engineer who will join the S&S Data Platform & Analytics team. We are a data-driven organization committed to leveraging information as a strategic asset to improve decision-making, operational efficiency, and business performance of our utility customers. Our Analytics team partners with stakeholders across the organization to develop scalable data solutions that deliver trusted insights and drive measurable customer value. As we continue to invest in our modern data platform, we are seeking a Senior Data and Business Intelligence Engineer to play a key role in building and evolving our enterprise analytics ecosystem. The successful candidate will report to the DBA and Analytics Manager.

This remote role welcomes candidates anywhere in Canada and the US. Travel is required as needed, approximately 1-2 times per year to Vermont/Customer Site/Some other destinations. Candidates must hold a current, valid passport and be legally eligible to travel internationally. This includes either passport based visa exemption or possession of any required travel visas for entry into Canada, the United States, and the Caribbean. Preference will be given to candidates who can work in EST timezone.

Salary: 80K - 110K

AI & Innovation Mindset

We are committed to leveraging emerging technologies to improve how we work, serve our customers, and drive business outcomes. The successful candidate will demonstrate curiosity and a willingness to actively adopt and leverage AI tools to improve workflows, solve problems, and increase efficiency. Candidates should be comfortable using AI enabled technologies, including copilots, chat based AI assistants, and automation tools, as part of their everyday work while maintaining appropriate judgment, security, and compliance standards.

What your impact will be:

• Design, build, and support enterprise Data Lake solutions from the ground up.
• Develop scalable ETL solutions and data pipelines.
• Move and process terabytes of data efficiently.
• Implement data quality, data governance, metadata, and lineage processes.
• Develop anomaly detection, monitoring, and alerting capabilities.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, Mathematics, or a related field, or an equivalent combination of education, professional experience, and demonstrated technical expertise.
• 5+ years of experience in Data Engineering, Analytics Engineering, Business Intelligence Engineering, or related discipline.
• Proven experience designing and building enterprise Data Lakes, Lakehouses, or analytical data platforms.
• Strong experience developing enterprise ETL/ELT solutions and scalable data pipelines.
• Experience designing, implementing, and supporting modern Data Lakehouse and real-time analytics platforms using technologies such as Oracle Database, Debezium, Kafka, Kafka Connect, Apache Flink, Apache Iceberg, Nessie, StarRocks, Spark, Kyuubi, and Power BI.
• Experience building scalable, reliable data pipelines that support both batch and streaming data workloads is highly desirable.
• Experience with Change Data Capture (CDC), event-driven architectures, real-time data processing, data cataloging, schema evolution, data versioning, and enterprise-scale ETL/ELT solutions.
• Experience supporting large-scale data ingestion, transformation, reconciliation, backfill processes, and distributed analytics platforms, including troubleshooting and performance optimization of production data services.
• Familiarity with observability, monitoring, and Site Reliability Engineering (SRE) practices using technologies such as Prometheus, VictoriaMetrics, and Grafana.
• Strong experience supporting production Linux environments (Oracle Linux, RHEL, CentOS, or equivalent), including system administration, systemd-managed services, performance tuning, automation, monitoring, troubleshooting, and operational support of distributed data and analytics platforms.
• Advanced SQL development, data modeling, and performance tuning skills.
• Experience with dimensional modeling, semantic-layer design, and analytical data structures.
• Experience processing and managing large-scale data environments.
• Hands-on experience implementing data quality, reconciliation, monitoring, and observability frameworks.
• Experience with metadata management, data lineage, governance, and data cataloging practices.
• Experience implementing monitoring, alerting, anomaly detection, and operational support processes for production data platforms.
• Experience supporting enterprise reporting, self-service analytics, and business intelligence solutions that leverage curated datasets, semantic models, and high-performance analytical query engines.
• Ensure enterprise data platforms and analytics solutions adhere to organizational requirements for the handling of sensitive information, including PII, customer data, confidential business information, and other regulated data types.
• Demonstrated ability to provide technical leadership on complex data and analytics initiatives, mentor team members, conduct code and design reviews, and contribute to the development of engineering standards and best practices.

Requirements

• Strong preference will be given to candidates with experience supporting modern Data Lakehouse architectures utilizing Oracle Database CDC, Debezium, Kafka, Flink, Apache Iceberg, Nessie, StarRocks, Spark, Prometheus, VictoriaMetrics, and cloud-native data platforms.
• Experience supporting real-time analytics, event-driven architectures, data observability, and large-scale distributed systems is highly desirable.

Benefits

• 3 weeks’ vacation and 5 personal days
• Comprehensive Medical, Dental, and Vision benefits starting from your first day of employment
• Employee stock ownership and RRSP/401k matching programs
• Lifestyle rewards
• Remote work and more!