--- title: 'Senior Data Engineer at ShyftLabs' canonical: 'https://feeny.ai/job/senior-data-engineer-shyftlabs-toronto-krwjay93a8ve' type: 'job' last_seen: '2026-10-13' --- # Senior Data Engineer at ShyftLabs - **Company:** ShyftLabs - **Location:** Toronto, Canada - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-07-28 - **Last confirmed live:** 2026-10-13 - **Apply:** https://jobs.lever.co/shyftlabs/8c5952d9-e223-47bb-bcf5-73e0952eb895 ## Job description ## About ShyftLabs At ShyftLabs, we live and breathe data. Since 2020, we've been helping Fortune 500 companies unlock growth with cutting-edge digital solutions that transform industries and create measurable business impact. We're growing fast, and we're looking for passionate technical leaders who are excited to solve complex data challenges, build modern cloud platforms, and deliver innovative solutions for enterprise clients. The Opportunity ShyftLabs is seeking an experienced Senior / Lead Data Engineer to lead the design, architecture, and delivery of enterprise-scale data platforms for Fortune 500 organizations. This is a highly client-facing leadership role responsible for owning projects from discovery through production deployment. You'll partner directly with client stakeholders to understand business objectives, define technical strategy, architect scalable cloud solutions, and lead engineering teams through successful delivery. The ideal candidate combines deep hands-on expertise with Databricks, Apache Spark, Python, SQL, and modern cloud platforms with proven experience leading complex data modernization initiatives. You'll play a key role in shaping technical direction, mentoring engineers, establishing engineering best practices, and delivering scalable data products that enable analytics, AI, and machine learning. ## What You'll Be Doing Technical Leadership - Lead the architecture, design, and implementation of enterprise-scale data platforms from project inception through production deployment. - Own technical delivery across multiple client engagements while ensuring high-quality engineering standards. - Define solution architecture, technical roadmaps, and implementation strategies aligned with client business goals. - Conduct architecture reviews, code reviews, and establish engineering best practices across project teams. - Mentor and coach Data Engineers while fostering technical excellence and continuous learning. - Serve as the primary technical leader for complex engineering initiatives and critical project decisions. Client Partnership - Partner directly with Fortune 500 clients to understand business requirements and translate them into scalable technical solutions. - Lead discovery workshops, architecture sessions, and technical planning meetings with both business and engineering stakeholders. - Present solution designs, delivery plans, and architectural recommendations to technical leadership and executive audiences. - Build trusted relationships with client teams while providing technical guidance throughout project execution. - Support pre-sales activities by contributing technical expertise, solution estimates, and implementation approaches when required. Data Engineering & Platform Development - Design, develop, and optimize enterprise-grade data pipelines using the Databricks Unified Analytics Platform. - Build scalable ETL and ELT frameworks capable of processing large-scale structured and unstructured datasets. - Design and implement Lakehouse architectures using Delta Lake and Medallion design patterns. - Develop high-performance Spark applications for batch and real-time data processing. - Integrate data from enterprise applications, APIs, streaming platforms, and cloud storage solutions. - Ensure data quality, integrity, and reliability through automated validation, testing, and monitoring. Cloud & DevOps - Architect cloud-native data platforms across AWS, Azure, or Google Cloud Platform. - Implement Infrastructure-as-Code using Terraform or similar technologies. - Build and maintain CI/CD pipelines supporting automated testing and deployment. - Optimize cloud infrastructure for scalability, reliability, security, and cost efficiency. - Monitor platform performance and proactively resolve operational issues. Data Governance & Security - Implement enterprise data governance frameworks and security best practices. - Configure Unity Catalog, metadata management, lineage, and role-based access controls. - Ensure compliance with organizational security standards and regulatory requirements. - Promote data observability and operational excellence across production environments Cross-Functional Collaboration - Partner closely with Product Managers, Data Scientists, Analytics Engineers, Machine Learning Engineers, and Software Engineers to deliver high-impact data products. - Enable AI and machine learning initiatives through scalable feature engineering pipelines and production-ready datasets. - Contribute reusable frameworks, accelerators, and engineering standards that improve delivery across client engagements. ## What You'll Bring - Bachelor's or Master's degree in Computer Science, Data Engineering, Software Engineering, or a related technical discipline. - 8+ years of experience designing and building enterprise-scale data platforms. - 5+ years of hands-on experience with Databricks and Apache Spark. - Proven experience leading enterprise data engineering projects from architecture through production delivery. - Strong expertise in Python, SQL, and Spark for large-scale data processing. - Deep understanding of Delta Lake, Lakehouse architecture, and modern data platform design. - Experience working with AWS, Azure, or Google Cloud Platform. - Strong knowledge of ETL/ELT frameworks, distributed computing, and data modeling. - Experience implementing CI/CD pipelines and Infrastructure-as-Code. - Strong understanding of data governance, security, metadata management, and data quality practices. - Experience optimizing distributed data processing workloads for performance and cost. - Excellent communication and stakeholder management skills with experience working directly with enterprise clients. - Demonstrated ability to mentor engineers and lead technical initiatives ## Nice to Have - Databricks Certified Professional Data Engineer certification. - Experience with Delta Live Tables, MLflow, Unity Catalog, and Databricks SQL. - Experience with Kafka, Kinesis, Event Hubs, or other streaming technologies. - Hands-on experience with Snowflake, dbt, Airflow, or modern data orchestration tools. - Experience with Kubernetes, Docker, and Terraform. - Knowledge of AI/ML data platforms, Feature Stores, or Retrieval-Augmented Generation (RAG) architectures. - Previous consulting or professional services experience delivering solutions for enterprise clients. - Experience within retail, e-commerce, financial services, logistics, healthcare, or ad-tech environments. Salary Range - $140,000 – $180,000 (CAD) ## Why You'll Love Working at ShyftLabs Lead Enterprise Transformations: Design and deliver modern data platforms that power analytics, AI, and digital transformation initiatives for Fortune 500 organizations. Technical Ownership: Drive architecture decisions, influence technical strategy, and lead projects from discovery through production. Growth & Leadership: Mentor talented engineers, shape engineering best practices, and continue developing your technical and leadership skills. Hybrid Flexibility: Work three days per week from our downtown Toronto office. Comprehensive Benefits: 100% employer-paid health, dental, and vision coverage for you and your dependents from day one, along with ongoing learning and professional development opportunities. Inclusion at ShyftLabs We're building something big, and we want you on the journey with us. If you're ready to solve complex data challenges, lead enterprise projects, and build innovative solutions that create measurable business impact, we'd love to hear from you. ShyftLabs is an equal opportunity employer committed to creating a safe, diverse, and inclusive workplace. We encourage applicants of all backgrounds, including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, and nationality, to apply. If you require accommodation during the interview process, please let us know and we'll be happy to support you. ## About ShyftLabs ## Company Overview - **One-liner**: ShyftLabs is a data and AI consulting firm that builds enterprise-grade intelligent systems to help Fortune 500 companies, retailers, health organizations, and public agencies turn data into measurable business outcomes. - **Entity Type**: Private (Bootstrapped) - **Headquarters**: Toronto, Ontario, Canada - **Founded**: 2018 - **Founders**: Brian Würtz Leth (Co-Founder, COO) – additional co-founders are not publicly listed. ## Core Business - **Primary industries**: Data & AI consulting, digital transformation, enterprise technology services. - **Target customers**: B2B, large enterprises (Fortune 500), government agencies, healthcare organizations. - **Mission or purpose statement**: “Move from pain points to measurable outcomes, fast.” They aim to make data actionable and power real-time decisions with privacy-first, responsible AI systems. ## Products & Services - **Enterprise AI & Data Consulting**: Custom AI solutions, machine learning models, and data infrastructure designed for trusted enterprise deployment. - **Digital Transformation Services**: Modernization of legacy systems, cloud migration, and scalable AI-ready platforms. - **Data Infrastructure & Governance**: Building governed data pipelines, privacy-first architecture, and secure integrations. - **Responsible AI Controls**: Governance frameworks, bias detection, and compliance-focused AI deployment. ## Market Standing - **Valuation/Market Cap**: Not disclosed (privately held). - **Key Metric**: Claims to have unlocked over $2B in client value (as stated on their website) and $500M+ in measurable value for clients. - **Notable Investors/Partners**: No public investors listed. Partners include major retailers, health organizations, and public agencies (specific names not disclosed). - **Growth Signals**: - Headcount: ~177 employees (LinkedIn) with +1.4% monthly growth; website states 250+ experts. - Active job postings: 30+ (Lever) with 22 roles posted in the last 90 days. - Offices in Toronto, New York, Dubai, and Noida (India), with distributed teams across 6 countries. - 54% of employees in technical roles, indicating strong engineering focus. ## Competitive Advantages - **Privacy-first architecture** and **governed data infrastructure** tailored for enterprise compliance. - **Multi-geography delivery** (North America, Europe, Middle East, India) enabling 24/7 support and diverse talent pools. - **Track record with Fortune 500 clients** and proven ability to deliver measurable ROI (over $500M client value). - **Full-stack AI expertise** spanning data engineering, machine learning, and responsible AI governance. ## Strategic Focus - Scaling AI systems that power real-time decisions across critical industries (retail, healthcare, government). - Modernizing legacy infrastructure for enterprises moving to AI-ready platforms. - Expanding their presence in commerce media (e.g., Carter partnership) and deepening client relationships through account management. - Growth in autonomous AI agents and privacy-first solutions. ## Why Work Here - **Culture & Ratings**: 4.2/5 on Glassdoor (60 reviews) with Work-Life Balance 4.3, Compensation 4.2, Culture 4.2. - **Benefits**: 100% coverage for health, dental, and vision insurance for employees and dependents from day one. - **Work Environment**: Hybrid policy in Toronto (minimum 4 in-office days per week); other offices vary. Fast-paced, product-focused, and collaborative. - **Growth Opportunities**: Continuous learning, influence over strategic direction, and opportunities to build AI systems used by Fortune 500 companies. - **Diversity & Inclusion**: Equal opportunity employer committed to creating a safe, diverse, and inclusive environment. ## Sources 1. [shyftlabs.io](https://shyftlabs.io/about-us) 2. [LinkedIn](https://linkedin.com/company/shyftlabsio) 3. [Indeed](https://ca.indeed.com/cmp/Shyftlabs/jobs) 4. [GetClera](https://www.getclera.com/companies/shyftlabsio) 5. 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