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Manager Sql Data Engineer Jobs in Calgary, AB (NOW HIRING)

Review Oracle SQL, PL/SQL, stored procedures, and legacy application logic. * Trace data from ... Support developers during remediation and validate that implemented fixes resolve the underlying ...

... Management, Data Programming, Information Systems, Data Engineering, Data Analytics, or other IT-related degree; * Strong database proficiency (e.g., SQL, My SQL, Oracle etc.) and experience in ...

New

Senior Manager - Data Engineering

Calgary, AB · On-site +1

CA$120K - CA$160K/yr

Partner with the Lead Data Engineer on system design of our application databases and services ... managing performance. * Represent Data Engineering to senior stakeholders and Global Data ...

Proven 6-8 years of experience in software development or data management, with at least 4 years of ... Advanced data handling and ETL skills, including Cloud Platforms (GCP, Azure), SQL, Data Modeling ...

... and manage relational database operations at scale. Responsibilities Backend Development: Write ... Data & SQL Optimization: Architect and fine-tune complex database queries, schema designs, joins ...

As a Data Science Manager, you will play a key role in leading the delivery, building capabilities ... programming languages (SQL, Oracle, Hadoop, NoSQL) for data manipulation and integration. • ...

Showing results 21-40

Manager Sql Data Engineer information

What does a Manager SQL Data Engineer do?

A Manager SQL Data Engineer oversees a team responsible for designing, developing, and maintaining SQL databases that store and organize large amounts of data. They manage data engineering projects, ensure best practices in data modeling and ETL processes, and work closely with other departments to understand data needs. In addition to technical responsibilities, they provide leadership, mentor junior engineers, and ensure data security and integrity across the organization. Their role is critical in making sure data systems are efficient, reliable, and scalable.

How does a Manager SQL Data Engineer typically collaborate with cross-functional teams within an organization?

A Manager SQL Data Engineer frequently works alongside data analysts, software engineers, business intelligence teams, and key business stakeholders to ensure data solutions align with organizational goals. This collaboration often involves gathering requirements, translating business needs into technical specifications, and overseeing the development and deployment of data pipelines and databases. The manager also facilitates communication between technical and non-technical team members, ensuring that data strategies are clearly understood and effectively implemented across departments.

What are the key skills and qualifications needed to thrive as a Manager SQL Data Engineer?

To thrive as a Manager SQL Data Engineer, you need deep expertise in SQL development, database architecture, data modeling, and leadership experience, usually supported by a degree in computer science or a related field. Familiarity with database management systems (such as Microsoft SQL Server, Oracle, or MySQL), ETL tools, and certifications like Microsoft Certified: Azure Data Engineer Associate are typically required. Strong communication, problem-solving, and team management skills help you effectively lead data engineering teams and collaborate cross-functionally. These skills ensure robust data solutions, efficient team performance, and alignment of data systems with business objectives.
What are the most commonly searched types of Sql Data Engineer jobs in Calgary, AB? The most popular types of Sql Data Engineer jobs in Calgary, AB are:
What are popular job titles related to Manager Sql Data Engineer jobs in Calgary, AB? For Manager Sql Data Engineer jobs in Calgary, AB, the most frequently searched job titles are:
Infographic showing various Manager Sql Data Engineer job openings in Calgary, AB as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Databricks Engineer (Contract)

Data Elephant Inc

Calgary, AB

Contractor

Posted 13 days ago


Job description

We are seeking an experienced Databricks Engineer to join our delivery team on a contract basis to design, build, and optimize modern data platforms on Azure Databricks. In this strategic role, you will work directly with both Data Elephant and client data and analytics teams, helping them migrate, modernize, and scale their data workloads while applying best practices in data engineering, security, ML, AI and data governance. This is a hands-on engineering role with strong exposure to architecture decisions, client interaction, and end-to-end delivery.


Responsibilities

  • Play an integral project team role in the implementation of modern data platforms and architectures on Databricks (including ETL, workload migrations, and Unity Catalog).
  • Design and implement data pipelines using Azure Databricks (PySpark, SQL)
  • Build and optimize batch and streaming data workloads
  • Migrate legacy data workloads to Azure + Databricks
  • Implement Delta Lake patterns (medallion architecture, CDC, data quality)
  • Integrate Databricks with Azure services such as ADLS, ADF, Azure Key Vault and DevOps/Github
  • Optimize performance and cost (cluster sizing, job orchestration, query tuning)
  • Collaborate with solution architects, analytics engineers, and client stakeholders
  • Contribute to reusable accelerators, standards, and internal best practices
  • Support client enablement through knowledge transfer and documentation
  • Provide hands-on solution delivery, including guiding and working closely with client engineers and ensuring best practices.
  • Implement governance models and Unity Catalog including data access, lineage, and security frameworks.


QUALIFICATIONS

  • 7+ years of experience in data engineering.
  • 4+ years of recent, hands-on experience building production solutions with Databricks, including advanced features such as Delta Lake, Unity Catalog, and MLflow.
  • Strong experience developing data pipelines using PySpark and SQL.
  • Proven experience leading large-scale data migrations, including ETL workloads and cloud platform migrations.
  • Strong expertise with Microsoft Azure and experience working with Azure data services, including ADLS, Azure Data Factory (ADF), Synapse Analytics, Azure Key Vault, and Azure DevOps.
  • Strong understanding of modern data architectures, including lakehouse, medallion architecture, and ELT/ETL.
  • Experience implementing CI/CD practices for data workloads.
  • Strong understanding of enterprise data governance, security, and compliance best practices.
  • Excellent communication skills with experience working directly with client teams.
  • Previous consulting or professional services experience is strongly preferred.
  • Databricks and Microsoft Azure certifications are considered an asset.


Be part of Canada's leading boutique consulting firm focused on Databricks and modern data platforms.

  • Work on challenging, high-impact projects with mid-sized and enterprise clients across industries
  • Collaborate with a senior, high-performing team that values speed, pragmatism, and client success.


This role requires regular onsite work at a client location in Calgary.