Senior Data Engineer

Quandri

. Own the Databricks data lake end to end, including dbt models, medallion layers, incremental and backfill strategy, partitioning, freshness, and quality monitoring .

Posted 10/2/2026full-timeVancouver • CanadaSenior💰 CA$140,000 - CA$170,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering, focusing on data lake management, cloud database development, and data governance. Proficient in building AI data infrastructure and collaborating with cross-functional teams to optimize data retrieval and analytics.

Highest-signal resume keywords

Data Engineering ExperienceProficiency In PythonExperience With DatabricksData Governance ProficiencyCloud Platform Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentData ModelingMedallion ArchitectureSQL ProficiencyData VisualizationChange-Data-Capture ToolingIncremental Backfill StrategySchema Migration StrategyIdempotency HandlingData Quality Monitoring

Soft Skills

Clear CommunicationMentoring EngineersCollaboration

Tools & Technologies

DatabricksAWSAzureGCPDbtApache AirflowPrefectDagsterTableauPower BI

Certifications & Qualifications

Bachelor's Degree In Computer ScienceMaster's Degree In Data Engineering

Industry Keywords

Data LakeAI Data InfrastructureData GovernanceMulti-Tenant Data SystemsPII HandlingVersioned APIsObservabilityData Management PoliciesAnalytics DashboardsFeature Stores

Tech Stack

Tools & technologies

AirflowApacheAWSAzureCloudDynamoDBGoogle Cloud PlatformPostgresPythonSQLTableau

About the role

Key responsibilities & impact

Own the Databricks data lake end to end, including dbt models, medallion layers, incremental and backfill strategy, partitioning, freshness, and quality monitoring
Stand up CDC and streaming ingestion from HubSpot, Langfuse, Postgres, and DynamoDB into the data lake, handling idempotency and deduplication
Own data services, schema and migration strategy, versioned APIs, provenance and audit trails, tests, and observability
Build AI data infrastructure, embedding pipelines, vector stores, retrieval knowledge bases, feature stores, and LLM observability
Develop and maintain cloud databases with the Infrastructure team
Improve data retrieval and optimize analytics dashboards
Maintain data management and security policies
Collaborate with software, AI/ML, and data engineers, data scientists, product, and business units to align requirements
Communicate technical concepts clearly to non-technical stakeholders
Guide and mentor engineers in data best practices

Requirements

What you’ll need

At least 4 to 6 years of professional data engineering experience
Demonstrated experience owning the maintenance and implementation of databases, data pipelines and backends, with a focus on efficient data management and integration of system components
Proficiency in Python (preferred) and SQL
Experience designing multi-tenant data systems with hard isolation requirements and handling PII or other regulated data
Proficiency in data modeling, medallion architecture, star schema, or Snowflake schema
Hands-on experience with cloud platforms such as AWS, Azure, or GCP
Experience with dbt, Databricks Workflows, Apache Airflow, Prefect, Dagster or equivalent, change-data-capture tooling, or AWS Step Functions
Proficiency in data visualization tools such as Databricks SQL dashboards, Tableau, or Power BI equivalent
Experience building or supporting AI products
Proficiency in data governance
Bachelor's or Master's degree in Computer Science, Data Engineering, Computer Engineering, or related technical discipline, or equivalent experience (bonus)

Benefits

Comp & perks

Employee stock options, granted based off experience level upon hire and subject to a standard vesting schedule
Employee stock options based on experience level
Comprehensive health benefits, including $500 Lifestyle Spending Account
Four weeks of paid vacation per year
Work anywhere in the world for 60 calendar days of the year
Parental leave top-ups: 6 months for birthing parents, 8 weeks for non-birthing parents (up to $100,000 annual salary)