TechBlocks Jobs

Lead Data Engineer

TechBlocks

Lead Data Engineer

Posted Yesterday

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Vaughan, ON, CAN

In-Office

Expert/Leader

Information Technology • Consulting

The Role

Lead design and delivery of enterprise-scale, cloud-native Azure data platforms. Architect and build Synapse/Databricks-based data lakes, warehouses, and ETL/ELT pipelines for batch and streaming. Drive data modernization, governance, performance optimization, and mentor data engineering teams while collaborating with cloud, DevOps, security, and analytics stakeholders.

Summary Generated by Built In

Lead Data Engineer – Azure Data Platform

Location: Vaughan, ON (Hybrid)

Job Summary

We are seeking a highly experienced Lead Data Engineer to lead the design, development, and implementation of scalable, cloud-native data solutions on Microsoft Azure.

The ideal candidate will possess deep expertise in Azure Data Engineering services, modern data architecture, analytics platforms, and enterprise data warehousing solutions.

This role requires strong hands-on technical capabilities, leadership experience, and the ability to collaborate with business stakeholders, architects, and engineering teams to deliver high-quality data platforms supporting analytics, reporting, and operational workloads.

Key Responsibilities

Lead the design and implementation of enterprise-scale data platforms leveraging Microsoft Azure services.

Architect and develop scalable data solutions using Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Storage Gen2, Azure SQL Database, Azure Databricks, and related Azure services.

Design and develop robust ETL/ELT pipelines for batch and real-time data processing.

Build and maintain enterprise data warehouses, data lakes, and analytical data platforms.

Collaborate with business stakeholders to gather data, reporting, and integration requirements.

Define and implement data architecture standards, governance controls, security, and best practices.

Lead data modernization initiatives, including migration of legacy on-premises data platforms to Azure

Integrate data from ERP systems, operational applications, IoT platforms, APIs, and third-party data sources.

Optimize data pipelines, storage, and query performance to support large-scale analytics workloads.

Ensure platform reliability, scalability, security, and operational excellence.

Mentor and guide Data Engineers through architecture reviews, code reviews, and technical best practices.

Work closely with Cloud, DevOps, Infrastructure, Security, and Analytics teams to deliver end-to-end solutions.

Participate in solution architecture reviews, governance processes, and technical leadership forums.

Required Skills

10+ years of experience as a Data Engineer with strong expertise in Microsoft Azure Data Platform

Hands-on experience with Azure Synapse Analytics, Azure Data Factory, Azure Data Lake, Azure SQL, Databricks

Strong experience in Data Engineering, Data Warehousing, ETL / ELT development

Strong programming skills in SQL, Python, Spark, or PySpark

Experience with cloud architecture and distributed data processing pipelines

Experience leading or mentoring data engineering teams

Experience working with large-scale enterprise data platforms

Experience with Power BI, Fabric Analytics, or other data visualization tools

Experience with CI/CD, DevOps, Terraform, or Infrastructure as Code

Experience working with real-time / streaming / IoT data pipelines

Experience with Databricks, Spark, Delta Lake, or Lakehouse architecture

Skills Required

10+ years of experience as a Data Engineer with strong expertise in Microsoft Azure Data Platform
Hands-on experience with Azure Synapse Analytics
Hands-on experience with Azure Data Factory
Hands-on experience with Azure Data Lake Storage Gen2
Hands-on experience with Azure SQL Database
Hands-on experience with Azure Databricks
Strong programming skills in SQL
Strong programming skills in Python
Strong programming skills in Spark or PySpark
Experience in Data Engineering, Data Warehousing, and ETL/ELT development
Experience leading or mentoring data engineering teams
Experience with Power BI, Fabric Analytics, or other data visualization tools
Experience with CI/CD, DevOps, Terraform, or Infrastructure as Code
Experience with real-time/streaming/IoT data pipelines
Experience with Delta Lake and Lakehouse architecture
Experience optimizing data pipelines, storage, and query performance for large-scale analytics

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The Company

HQ: Vaughan, Ontario

345 Employees

Year Founded: 2007

What We Do

@TechBlocks we power the software defined industries (SDI) of today and tomorrow. We are a software engineering and consulting firm. We build modern digital value chains and businesses reimagined to create frictionless experiences for innovative monetization methods and drive unforeseen efficiencies. We are known to build world class custom platforms and products that are cloud native for some of the worlds largest brands. We are the go to technology partners for born in digital businesses that grew with us from "Concept to Commercialization" and have revenues between $100M - $10B. We help modern businesses transition just from a technology outsourcing mentality to help create globally distributed digital COEs and mature them. Our converged COEs that we create in partnership with our clients help power software factories that are extremely dynamic. We have created modern digital COEs and factories that are created with a single minded goal to future proof our clients businesses. Everything we do is centred around two philosophies and practices - Design Thinking and Lean Engineering. Whether it is building digital commerce platforms, marketplace for worlds largest retailers or smart utilities applications and products or digital health products/platforms that power wearables, patches or devices across healthcare landscape; we do it all with speed and sophistication that is unmatched in the industry