ZS Logo

ZS

Lead Engineer - Data

Posted 5 Hours Ago
Be an Early Applicant
Hybrid
Toronto, ON
140K-153K Annually
Senior level
Hybrid
Toronto, ON
140K-153K Annually
Senior level
Lead design and build scalable data architectures, ETL pipelines, ingestion and data quality frameworks. Collaborate with cross-functional teams, enforce data governance, analyze data for insights, mentor junior engineers, and serve as the technical authority on data engineering best practices.
The summary above was generated by AI
ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS.
Overview :
The Data Engineering Lead is a senior technical professional responsible for designing, building, and optimizing scalable data architectures and processes to enable efficient data utilization and data-driven decision-making. This role combines deep technical expertise with strong leadership skills to drive best-in-class data engineering solutions and mentor junior team members.
What You'll Do:
  • Oversee the design and implementation of robust, scalable, and reliable data systems, ensuring high performance and alignment with business goals.
  • Collaborate with cross-functional teams to understand data requirements and translate them into effective data architecture and engineering solutions.
  • Develop and manage software processes that facilitate seamless data movement between data warehouses, data lakes, and other internal systems.
  • Design and optimize ETL (Extract, Transform, Load) pipelines to prepare high-quality data for various stakeholders.
  • Design and build Data Ingestion frameworks, data quality frameworks and an integrated audit system.
  • Implement data quality assurance processes to identify and resolve data inconsistencies and issues.
  • Establish data governance practices to maintain data accuracy, integrity, and security.
  • Analyze data to derive meaningful insights that support data-driven decision-making.
  • Communicate findings and recommendations to stakeholders effectively.
  • Serve as a technical authority in data engineering, staying updated on industry trends and best practices.
  • Provide guidance and mentorship to junior Data Engineers, fostering their professional development.
  • Facilitate knowledge sharing, collaboration, and continuous improvement within the team.

What You'll Bring:
  • A relevant Bachelors or higher-education degree in Computer Science, Data Science, or related fields.
  • 5+ years of experience in data engineering, with a proven track record of designing and implementing scalable, high-performance data systems.
  • Proficiency in SQL, Python, or other relevant programming languages.
  • Strong understanding of data warehousing concepts and cloud-based data platforms (e.g., AWS, Azure, GCP).
  • Expertise in designing and implementing ETL processes, data modeling, and database management.
  • Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) and data integration tools.
  • Excellent problem-solving, critical thinking, and analytical skills.
  • Excellent communication, collaboration, and leadership skills.
  • Significant experience in leading small teams of Data Engineers and fostering their professional growth.
  • Demonstrated ability to collaborate with cross-functional teams and communicate technical solutions effectively.
  • Ability to travel to other offices or client locations as needed.
  • Fluency in English
  • Client-first mentality
  • Intense work ethic
  • Collaborative spirit and problem-solving approach

How you'll grow:
  • Cross-functional skills development & custom learning pathways
  • Milestone training programs aligned to career progression opportunities
  • Internal mobility paths that empower growth via s-curves, individual contribution and role expansions

Perks & Benefits:
At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well-being, financial future, time away, and professional development. With robust skills-building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you'll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in Canada , visit ZS Canada office locations | Where we work | ZS .
Hybrid working model:
We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.
Travel:
Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.
Considering applying?
At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems-the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive.
If you're eager to grow, contribute, and bring your unique self to our work, we encourage you to apply.
ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.
To complete your application:
Candidates must possess or be able to obtain work authorization for their intended country of employment. An on-line application, including a full set of transcripts (official or unofficial), is required to be considered.
NO AGENCY CALLS, PLEASE.
Find Out More At:
www.zs.com
Salary: $140,000.00 - $152,500.00

ZS Foster City, California, USA Office

ZS San Francisco (Foster City) Office

950 Tower Lane, Suite 1500, Foster City, CA, United States, 94404

ZS South San Francisco, California, USA Office

ZS San Francisco (South) Office

611 Gateway Blvd, Suite 1000, South San Francisco, CA, United States, 94080

Similar Jobs at ZS

22 Hours Ago
Hybrid
110K-123K Annually
Senior level
110K-123K Annually
Senior level
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
Design, build, and maintain scalable data pipelines and storage (data lakes/warehouses). Integrate diverse sources, enforce data quality, security and compliance, optimize ETL/ELT, monitor pipelines, and mentor junior engineers while collaborating with data scientists, analysts, and stakeholders.
Top Skills: APIsAzure Data FactoryAzure Data LakeAzure Key VaultAzure PurviewAzure SynapseData LakeData WarehouseDatabricksDelta LakeEtl/EltNoSQLPower BIPysparkPythonSnowflakeSQLStreaming PlatformsUnity Catalog
3 Days Ago
Hybrid
75K-90K Annually
Junior
75K-90K Annually
Junior
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
Design, develop, and deploy scalable LLM-based solutions (RAG, agentic workflows, PEFT). Lead architecture, implement cloud and DevOps best practices (AWS, Azure, Databricks, Terraform, Docker, Kubernetes), build prompt/response guardrails, collaborate cross-functionally, and manage full SDLC and production deployments.
Top Skills: AcrAgentic WorkflowsAgentsAksAnthropicAWSAws BedrockAzureAzure DevopsCloudFormationDatabricksDatabricks Unity CatalogDjangoDockerDspyEcrFastapiGitHybrid SearchIamJavaScriptKubernetesLangchainLoraNext.JsOpenaiPeftPythonQloraRagRdsReactRedisRedshiftS3Tailwind CssTerraformVector DbVector Search
6 Days Ago
Hybrid
120K-136K Annually
Mid level
120K-136K Annually
Mid level
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
The Decision Analytics Associate Consultant will develop statistical models, leverage analytics, design analyses, and communicate results to clients while mentoring associates and managing client relationships.
Top Skills: ExcelRSASTableauVisual Basic

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account