Data Delivery Lead: End-to-End Data Orchestration

Jobtailor; Toronto; On-site; CAD 90,000 - 130,000; Full time

Job summary

Jobtailor is seeking a data analytics/engineering professional in Toronto to own end-to-end data deliveries. You will pull data from internal systems, format to customer schemas, and hand off to cloud storage with strong QA and validation.

You will work across SQL, Python, and modern data warehouses, ensuring timely delivery against SLAs in a fast-growing startup. This role emphasizes data quality, governance, and scalable data workflows.

Qualifications

• 1–3 years in data analytics, data engineering, analytics engineering, or similar data-heavy role.
• Fluent in SQL; able to query and reshape large datasets independently.
• Working proficiency with Python for data manipulation, validation, and automation.
• Strong grasp of data pipelines, schemas, and data-quality concepts.
• Proven ability to own a data workflow or deliverable end-to-end.
• Excellent communication and stakeholder-management abilities.
• Experience in fast-paced startups or high-growth environments.
• Exposure to ML/AI training data, data labeling, or dataset delivery.
• Experience with NoSQL / document stores and/or columnar analytics databases.
• Experience with ClickHouse, BigQuery, or Snowflake.
• Built QA / validation tooling or data-quality checks.
• Strong prioritization and tradeoff instincts between speed, quality, and cost.
• Rigorous and detail-obsessed.

Responsibilities

• Pull final delivery cuts from internal systems and format data to customer schemas.
• Generate manifests, indexes, and packaging for delivery.
• Stage and hand off deliveries to customer buckets and cloud storage.
• Own delivery mechanics end-to-end and run through ship-gates.
• Design validation including coverage stats, audits, and schema checks.
• Build and maintain golden reference sets and repeatable quality checks.
• Translate customer data specs into gates and queries.
• Produce delivery reports, data catalogs, and schema documentation.
• Track delivery performance against timelines and SLAs.
• Identify and remove bottlenecks in the delivery process.
• Scale the delivery process as volume grows.

Skills

SQL Proficiency

Data Pipelines

Data Quality

Python Scripting

End-to-end Ownership

Tools

SQL

Python

NoSQL Databases

Document Stores

ClickHouse

BigQuery

Snowflake

Job description

Jobtailor is seeking a data analytics/engineering professional in Toronto to own end-to-end data deliveries. You will pull data from internal systems, format to customer schemas, and hand off to cloud storage with strong QA and validation.

You will work across SQL, Python, and modern data warehouses, ensuring timely delivery against SLAs in a fast-growing startup. This role emphasizes data quality, governance, and scalable data workflows.