Establish and maintain SLIs and SLOs for new ingestion and data platform with dashboards and alerting to track performance
Build flexible data storage layer supporting a variety of use cases, e.g., transactional, analytic, and machine learning workloads
Implement comprehensive monitoring, observability, and incident response practices for all event data pipelines and services
Collaborate with product engineering, analytics, and machine learning teams to define contracts, functional requirements, and standards
Design and implement a semantic metadata layer that classifies and labels data assets across both products, enabling consistent data discovery, exposure policies, and identification of cross-product data reuse opportunities
Architect and deliver a multi-tenant data model that supports secure data sharing and isolation across clients, with controls designed to meet regulatory and government compliance requirements
Qualifications
Deep understanding of data governance principles and data lifecycle management, including data quality, lineage, retention, and access control
Strong familiarity with database backend technologies (OLAP vs. OLTP) and when to apply each, with hands-on experience using data warehouse technologies (Databricks, Clickhouse, Redshift, etc) at production scale
Strong familiarity with SQL with the ability to write and optimize queries
Skill at building complex systems and identifying core primitives and how to apply them to meet changing business needs and future roadmap requirements.
Experience designing and operating data systems on a major cloud provider (AWS or GCP) and working in a multi-cloud deployment environment
Proficiency with containerization and orchestration technologies, including Docker and Kubernetes
Proven ability to integrate systems, connecting legacy platforms with modern architectures through well-designed interfaces and migration strategies
Effective communicator who can facilitate system design discussions, document architectural decisions, and work across team boundaries
(Nice to have) Familiarity with Elixir for building concurrent, fault-tolerant data services
(Nice to have) Experience with data pipeline and streaming technologies such as Airflow, Kafka, Apache Flink, or similar
(Nice to have) Hands-on experience with columnar/OLAP databases such as Databricks or ClickHouse
Experience designing and operating data systems on AWS; GCP experience is a plus
Strong collaboration and communication skills, comfortable leading design discussions, writing technical specs, and working across team boundaries
Experience with Infrastructure-as-Code (IaC) tools such as Terraform, CloudFormation, or similar
The base pay range for this position is $145,000-$185,000/year CAD, which can include additional bonus depending on the position ultimately offered, in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.
Studies have shown that women, communities of color, and historically underrepresented people are less likely to apply to jobs unless they meet every single qualification. We are committed to building a diverse and inclusive culture where all Inkers can thrive. If you’re excited about the role but don’t meet all of the abovementioned qualifications, we encourage you to apply. Our differences bring a breadth of knowledge and perspectives that makes us collectively stronger.
We welcome and employ people regardless of race, color, gender identity or expression, religion, genetic information, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, ethnicity, family or marital status, physical and mental ability, political affiliation, disability, Veteran status, or other protected characteristics. We are proud to be an equal opportunity employer.
