Data Architect & Team Lead
Hybrid Toronto role at Konrad, an AI-driven digital consultancy: architect and build scalable data platforms and ETL/ELT pipelines on Microsoft Fabric, Databricks, and Snowflake, while leading, mentoring, and guiding sprint delivery for a team of data engineers.
- Compensation
- CA$140K–CA$180K / yr
- Location
- Toronto
- Work setup
- Remote
- Seniority
- Lead
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Architecture
- Posted
Skills
Must have
- Bachelor's degree or higher in Computer Science, Data Engineering, Information Technology, or related field
- 6+ years of professional experience in Data Architecture, Engineering, or similar capacity
- 2+ years of experience leading, managing, or mentoring technical engineering teams or serving as a Tech Lead
- Strong programming proficiency in SQL, Python, Scala, or related languages
- Deep, hands-on expertise in enterprise data platforms such as Microsoft Fabric, Databricks, and Snowflake
- Strong track record with cloud services (AWS, Azure, or GCP), data pipelines, storage solutions, and big data technologies (Spark, Kafka, etc.)
- Proven experience in project coordination, task prioritization, sprint delivery, and technical mentorship
- Exceptional analytical, troubleshooting, and problem-solving abilities
- Excellent communication skills, able to convey complex architecture concepts to technical and non-technical stakeholders
Nice to have
- Formal leadership training or experience managing cross-functional delivery teams in a consultancy or agency environment
- Professional certifications in Azure/AWS/GCP Data Architecture, Databricks, or Snowflake
- Experience with DevOps practices, CI/CD pipelines, and infrastructure as code (IaC) for data infrastructure
Full description
Who We Are
Konrad is an AI-driven digital consultancy and product-innovation firm providing AI, strategy, design, and technology services to the world’s most ambitious businesses and brands.
We empower industry-leading brands to navigate change, strategize, and build extraordinary custom experiences. In a landscape defined by human and machine collaboration, we bridge the gap between complex AI and beautiful product design. From strategy to implementation, our 750+ global experts deliver intelligent solutions trusted by 500 million people.
About The Role
As a Data Architect & Team Lead, you will combine hands-on technical architecture expertise with people and delivery leadership. You will be tasked with designing, building, and maintaining scalable data platforms and pipelines while guiding, mentoring, and empowering a talented team of data engineers. Your deep knowledge of data platforms such as Microsoft Fabric, Databricks, and Snowflake will be essential as you collaborate closely with cross-functional teams, clients, and technical stakeholders to deliver reliable, secure, and cutting-edge data solutions.
What You’ll Do
- Design, build, and manage robust data pipelines and scalable data architectures.
- Implement solutions leveraging platforms such as Microsoft Fabric, Databricks, and Snowflake.
- Lead, mentor, and support a team of data engineers, promoting technical best practices and continuous growth.
- Guide technical delivery, sprint planning, task estimation, and code reviews across data initiatives.
- Optimize data workflows, ensuring reliability, scalability, performance, and high data quality.
- Collaborate with internal and external stakeholders to understand data needs and deliver tailored solutions.
- Ensure data security, governance, and compliance with industry standards and best practices.
- Perform data modeling, data extraction, transformation, and loading (ETL/ELT).
- Identify and recommend innovative solutions to enhance analytics capabilities and AI integration.
Qualifications
- Bachelor’s degree or higher in Computer Science, Data Engineering, Information Technology, or a related field.
- 6+ years of professional experience in Data Architecture, Engineering, or a similar capacity.
- 2+ years of experience leading, managing, or mentoring technical engineering teams or serving as a Tech Lead.
- Strong programming proficiency in SQL, Python, Scala, or related languages.
- Deep, hands-on expertise in enterprise data platforms such as Microsoft Fabric, Databricks, and Snowflake.