Part - time retail shift leader overseeing store operations, staff, sales, customer service, and inventory. Supporting Canna Cabana, High Tide’s Canadian cannabis retail chain.
About the role
- Data Delivery Lead assembling and validating datasets for Mecka AI's robotics and embodied AI infrastructure. Translating customer specifications into quality gates, reports, and reliable cloud deliveries.
Responsibilities
- Pull final delivery cuts from internal data systems, including document and columnar databases and file stores
- Format data to customer schemas and generate manifests, indexes, and packaging
- Stage and reliably and reproducibly hand off deliveries to customer buckets and cloud storage
- Own delivery mechanics end-to-end
- Run every deliverable through internal ship-gates
- Design and execute validation including coverage statistics, stratified sample audits, schema compliance, and quality-drift detection
- Set an internal acceptance bar higher than the customer's QC
- Build and maintain golden reference sets and repeatable quality checks
- Translate customer data specifications into concrete, testable gates and queries
- Translate customer requirements into capture, labeling, and computer-vision operations requirements
- Serve as technical interpreter between customer requirements and internal execution
- Produce delivery reports, data catalogs, sample packs, and schema documentation
- Maintain a current canonical reference pack
- Track delivery performance against timelines and SLAs
- Identify and remove bottlenecks in the assembly-to-ship process
- Scale the delivery process as volume and customer count grow
- Partner with data capture, labeling operations, and engineering to close specification gaps
- Own delivery communication with internal teams and external customers
- Keep timelines, risks, and deliverable status transparent
Requirements
- 1–3 years in data analytics, data engineering, analytics engineering, or a similarly data-heavy role
- Fluent in SQL; comfortable querying and reshaping large, imperfect datasets independently
- Working proficiency with a scripting language (Python preferred) for data manipulation, validation, and automation
- Solid 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 intuition for prioritization and tradeoffs between speed, quality, and cost
- Rigorous and detail-obsessed
- Structured in thinking but flexible in execution
- Comfortable operating in ambiguity and fast-changing environments
- Data-native; instinct to measure, not assume
- Calm under pressure and able to run multiple deliveries in parallel without dropping quality
Benefits
- Equity
- Health and wellness benefits
- Inclusive and supportive candidate experience
- Interview accommodations available upon request
- Equal treatment and opportunity in recruitment, selection, and employment
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Degree requirement
No Education Requirement
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