Data Architect designing and governing data foundations for analytics and AI applications at Clio. Collaborating cross - functionally to develop high - quality data models and standards.
About the role
- Data Engineer responsible for building real-time data pipelines and analytics at Branch. Collaborating on a data platform for high availability and performance handling petabyte-scale data.
Responsibilities
- Architect, build, and own real-time and batch data pipelines that power attribution decisions and marketing insights.
- Deliver high-quality, reliable datasets for customer dashboards, fraud systems, and internal analytics use cases.
- Optimize ingestion and aggregation performance using tools like Flink, Spark, Kafka, and Druid.
- Partner with the Data Platform team to make infrastructure-level decisions that impact performance, latency, and cost.
- Own schema design, versioning, and deployment of datasets across Iceberg, S3, and other analytical data stores.
- Build and maintain robust monitoring, alerting, and self-healing mechanisms to ensure high system availability.
- Collaborate cross-functionally with Product, Customer Success, and Data Science to identify and deliver new data capabilities.
Requirements
- 5+ years of software engineering experience, ideally in data engineering or large-scale backend systems.
- Proficiency in SQL and at least one backend language (Java, or Python).
- Understanding of distributed systems, data modeling, and real-time data processing.
- Hands-on experience with AWS cloud tools and big data platforms such as Kafka, Flink, Spark, Airflow, dbt, Druid.
- A solid grasp of data warehousing principles and familiarity with columnar storage formats (Parquet, Avro).
- Curiosity and drive to work with event-driven data systems that operate at massive scale.
- Strong communication skills and a desire to collaborate across time zones and teams.
Benefits
- Health and wellness programs
- Paid time off
- Retirement planning options
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
LP
IAM / Data Engineer
LinkedIn Recruiter Post
IAM/Data Engineer role in Toronto (Hybrid). Requires 4+ years in ETL, data pipelines, cloud platforms, and skills in Windows IAM, Ansible, Terraform, SQL, Python/Java, Spark/Kafka.
Data Migration Specialist managing client data migrations to gaiia's platform. Collaborating with teams to ensure accurate and timely data transitions.
Senior Data Architect/Strategist at Robots & Pencils blending advanced data knowledge with problem solving to drive intelligent products and smarter business decisions.
Principal Data Architect at PointClickCare ensuring coherent and scalable data architecture. Driving unified data direction while collaborating with Engineering Architecture team for AI enablement.
Senior Data Engineer developing the data management layer for a financial brokerage platform with scalability for larger customers. Collaborating with teams in a fully remote, diverse environment.
Technical Lead overseeing data engineers, analysts, and architects to implement data solutions. Leading modernization of data infrastructures for diverse business objectives.
Data Engineer joining a consulting firm in Toronto with world - class team of engineers. Producing high quality data tools and pipelines while collaborating with leading companies.
Director of Data Engineering & AI Strategy driving Google Marketing Platform capabilities for global marketing partner Incubeta. Hands - on technical leadership at the intersection of ad tech and media.
Data Engineer at Alberta Blue Cross designing and implementing data solutions for business analytics. Collaborating on data pipelines and analytics projects in a hybrid work environment.