Data Delivery Lead

Location Toronto; New York Employment Type Full time Location Type Hybrid Department Operations Compensation CA$140K – CA$180K Our Compensation Philosophy Mecka uses industry benchmark data to establish compensation bands for all roles. The salary range listed for a position reflects the expected total wage range for the role. This includes base salary and on-target incentives, where applicable and may span multiple career levels. Final compensation is determined during the interview process based on factors such as experience, skills, scope, and role level. In addition to base salary, total rewards may include equity, health and wellness benefits, and other company programs. Full details will be shared during the interview process. Compensation will potentially be different based on geography OverviewApplication About Mecka AI Mecka AI is building the data infrastructure layer for robotics and embodied AI. We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems. We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware. OUR MISSION Robotics will become the largest industry in human history — larger than anything that has come before it. As intelligent machines move into the physical world, they will dramatically expand global GDP, raise the material standard of living for everyone, and ultimately help make humanity a multiplanetary civilization. None of that happens without one thing: enormous amounts of high-quality, real-world data. Mecka AI builds that foundation. We are the data infrastructure layer for robotics and embodied AI — the substrate that teaches machines to perceive, reason, and act in reality. Get this right, and we accelerate the most important technological transition of our time. OUR CULTURE Excellence as the baseline. We hold an extremely high bar and expect the best work of your career. Mediocrity isn't interesting to us. Highly technical. We reason from first principles, not by analogy. The best argument wins — regardless of title or tenure. Truth-seeking. We are relentlessly honest with ourselves and each other. We chase reality — measured, not assumed — and kill our own bad ideas fast. Maniacal urgency. The work matters and the clock is real. We move fast, ship, measure, and iterate. Extreme ownership. You own outcomes end-to-end — no hand-offs, no excuses, no waiting for permission. Hardcore. This is a high-intensity environment for people who want to do the defining work of their lives. THE ROLE Own the last mile of Mecka's business We're hiring a Data Delivery Lead to turn our raw captured, labeled, and validated data into the exact deliverable a frontier robotics lab pays for — assembled correctly, validated ruthlessly, and documented clearly. This is a hands-on, data-native role. You come from a data analytics or data engineering background and are fluent in SQL and working with large, messy datasets. You'll live at the seam between our internal data systems and our customers' specs: translating what a lab asks for into concrete queries and quality gates, pulling and packaging the final cut, running it through validation before anyone else sees it, and producing the reports and catalogs that ship alongside it. You make sure that when a deliverable leaves Mecka, it is exactly right — and that we are our own strictest customer long before the actual customer opens the box. The role blends deep data analysis with technical delivery ownership. You won't necessarily write production pipelines day-to-day, but you'll understand our data stack well enough to direct engineering, query it directly, and catch problems no dashboard would surface. RESPONSIBILITIES Deliverable assembly & export Pull the final delivery cut from our internal data systems (document and columnar databases, and file stores) Format data to each customer's schema; generate manifests, indexes, and packaging Stage and hand off deliveries to customer buckets and cloud storage reliably and reproducibly Own the mechanics of the drop end-to-end, so nothing ships half-assembled Delivery QA & validation — the strictest-customer bar Run every deliverable through Mecka's ship-gates before it goes out Design and execute validation: coverage stats, stratified sample audits, schema compliance, quality-drift detection Set an internal acceptance bar higher than the customer's own QC — catch it here, never there Build and maintain golden reference sets and repeatable checks so quality is measured, not assumed Spec translation Turn a customer's data specification into concrete, testable gates and queries Translate back into what capture, labeling, and CV operations must actually produce to hit that spec Serve as the technical interpreter between customer requirements and internal execution Customer-facing delivery artifacts Produce delivery reports, data catalogs, sample packs, and schema documentation that accompany each drop Keep a canonical "our strongest work, today" reference pack always current Make the quality and shape of the data legible to a technical customer at a glance Throughput & delivery management Track delivery performance against timelines and SLAs; ensure they're consistently met Identify bottlenecks in the assembly-to-ship path and drive them out Ensure the delivery process scales as volume and customer count grow Cross-functional & stakeholder execution Partner with data capture, labeling operations, and engineering to close spec gaps Own delivery communication with internal teams and external customers Keep timelines, risks, and deliverable status transparent to everyone who needs it WHO YOU ARE REQUIRED EXPERIENCE 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 STRONG SIGNALS 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 (e.g. ClickHouse, BigQuery, Snowflake) Built QA / validation tooling or data-quality checks Strong intuition for prioritization and tradeoffs between speed, quality, and cost YOU ARE Rigorous and detail-obsessed — you find the error before the customer does Structured in your thinking but flexible in execution Comfortable operating in ambiguity and fast-changing environments Data-native — your instinct is to measure, not assume Calm under pressure, able to run multiple deliveries in parallel without dropping quality WHY THIS ROLE Own the last mile that every customer relationship ultimately depends on Sit at the intersection of data engineering, operations, and customer delivery Directly shape how Mecka defines and defends "gold-standard" data quality High visibility and direct exposure to leadership and customers Build the systems that let Mecka's delivery scale globally Inclusive Hiring at Mecka We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation. Use of Artificial Intelligence in Recruitment Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices. Compensation Range: CA$140K - CA$180K RESPONSIBILITIES Deliverable assembly & export Pull the final delivery cut from our internal data systems (document and columnar databases, and file stores) Format data to each customer's schema; generate manifests, indexes, and packaging Stage and hand off deliveries to customer buckets and cloud storage reliably and reproducibly Own the mechanics of the drop end-to-end, so nothing ships half-assembled Delivery QA & validation — the strictest-customer bar Run every deliverable through Mecka's ship-gates before it goes out Design and execute validation: coverage stats, stratified sample audits, schema compliance, quality-drift detection Set an internal acceptance bar higher than the customer's own QC — catch it here, never there Build and maintain golden reference sets and repeatable checks so quality is measured, not assumed Spec translation Turn a customer's data specification into concrete, testable gates and queries Translate back into what capture, labeling, and CV operations must actually produce to hit that spec Serve as the technical interpreter between customer requirements and internal execution Customer-facing delivery artifacts Produce delivery reports, data catalogs, sample packs, and schema documentation that accompany each drop Keep a canonical "our strongest work, today" reference pack always current Make the quality and shape of the data legible to a technical customer at a glance Throughput & delivery management Track delivery performance against timelines and SLAs; ensure they're consistently met Identify bottlenecks in the assembly-to-ship path and drive them out Ensure the delivery process scales as volume and customer count grow Cross-functional & stakeholder execution Partner with data capture, labeling operations, and engineering to close spec gaps Own delivery communication with internal teams and external customers Keep timelines, risks, and deliverable status transparent to everyone who needs it REQUIRED EXPERIENCE 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 STRONG SIGNALS 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 (e.g. ClickHouse, BigQuery, Snowflake) Built QA / validation tooling or data-quality checks Strong intuition for prioritization and tradeoffs between speed, quality, and cost YOU ARE Rigorous and detail-obsessed — you find the error before the customer does Structured in your thinking but flexible in execution Comfortable operating in ambiguity and fast-changing environments Data-native — your instinct is to measure, not assume Calm under pressure, able to run multiple deliveries in parallel without dropping quality WHY THIS ROLE Own the last mile that every customer relationship ultimately depends on Sit at the intersection of data engineering, operations, and customer delivery Directly shape how Mecka defines and defends "gold-standard" data quality High visibility and direct exposure to leadership and customers Build the systems that let Mecka's delivery scale globally Inclusive Hiring at Mecka We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation. Use of Artificial Intelligence in Recruitment Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices. Compensation Range: CA$140K - CA$180K RESPONSIBILITIES Deliverable assembly & export Pull the final delivery cut from our internal data systems (document and columnar databases, and file stores) Format data to each customer's schema; generate manifests, indexes, and packaging Stage and hand off deliveries to customer buckets and cloud storage reliably and reproducibly Own the mechanics of the drop end-to-end, so nothing ships half-assembled Delivery QA & validation — the strictest-customer bar Run every deliverable through Mecka's ship-gates before it goes out Design and execute validation: coverage stats, stratified sample audits, schema compliance, quality-drift detection Set an internal acceptance bar higher than the customer's own QC — catch it here, never there Build and maintain golden reference sets and repeatable checks so quality is measured, not assumed Spec translation Turn a customer's data specification into concrete, testable gates and queries Translate back into what capture, labeling, and CV operations must actually produce to hit that spec Serve as the technical interpreter between customer requirements and internal execution Customer-facing delivery artifacts Produce delivery reports, data catalogs, sample packs, and schema documentation that accompany each drop Keep a canonical "our strongest work, today" reference pack always current Make the quality and shape of the data legible to a technical customer at a glance Throughput & delivery management Track delivery performance against timelines and SLAs; ensure they're consistently met Identify bottlenecks in the assembly-to-ship path and drive them out Ensure the delivery process scales as volume and customer count grow Cross-functional & stakeholder execution Partner with data capture, labeling operations, and engineering to close spec gaps Own delivery communication with internal teams and external customers Keep timelines, risks, and deliverable status transparent to everyone who needs it REQUIRED EXPERIENCE 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 STRONG SIGNALS 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 (e.g. ClickHouse, BigQuery, Snowflake) Built QA / validation tooling or data-quality checks Strong intuition for prioritization and tradeoffs between speed, quality, and cost YOU ARE Rigorous and detail-obsessed — you find the error before the customer does Structured in your thinking but flexible in execution Comfortable operating in ambiguity and fast-changing environments Data-native — your instinct is to measure, not assume Calm under pressure, able to run multiple deliveries in parallel without dropping quality WHY THIS ROLE Own the last mile that every customer relationship ultimately depends on Sit at the intersection of data engineering, operations, and customer delivery Directly shape how Mecka defines and defends "gold-standard" data quality High visibility and direct exposure to leadership and customers Build the systems that let Mecka's delivery scale globally Inclusive Hiring at Mecka We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation. Use of Artificial Intelligence in Recruitment Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices. Compensation Range: CA$140K - CA$180K

Own the final delivery of high-quality data to robotics labs, ensuring it is correctly assembled, validated, and documented. Act as the technical interpreter between customer specifications and internal data operations to maintain a gold-standard quality bar.

Requires 1-3 years of experience in data-heavy roles with fluency in SQL and proficiency in Python. Candidates must have a solid grasp of data pipelines and the ability to own complex data workflows end-to-end.

• Equity • Health And Wellness Benefits

• Technical DocumentationSouhaitée
• SQLSouhaitée
• Assurance qualitéSouhaitée
• Data ValidationSouhaitée
• Stakeholder ManagementSouhaitée
• PythonSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Sql
• Python
• Data Analytics
• Data Engineering
• Data Validation
• Stakeholder Management
• Data Pipelines
• NoSql
• Columnar Databases
• Dataset Delivery
• Quality Assurance
• Technical Documentation

• Data & Analytics
• Technology
• Engineering
• Software
• Management & Leadership

Expérience minimale

2+ ans

Postuler avant le

5 oct. 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Niveau d’expérience

Mid-Senior level