Sr. Consultant, Enterprise Data Analytics

CIBC; Toronto; On-site; CAD 120,000 - 150,000; Part time

Job summary

CIBC is seeking a Senior Consultant, Analytics Engineer in Toronto to design and implement data pipelines using Databricks, Delta Lake, and SQL Server. You will ensure data quality, security, and governance while translating business requirements into scalable solutions.

Collaboration with Analytics teams and mentorship of junior developers are key parts of the role. The role emphasizes end‑to‑end data engineering, cloud platforms (AWS/Azure/GCP), and strong communication with stakeholders to

Qualifications

• 7+ years of professional data engineering experience.
• Proficient in Databricks and SQL Server with ETL/ELT expertise.
• Familiarity with Power BI, Tableau, and data governance tools.

Responsibilities

• Develop end-to-end Databricks data pipelines (ingestion, transformation, storage).
• Ensure data quality, security, and governance throughout the data lifecycle.
• Collaborate with Analytics teams to deliver Tableau/Power BI reports and translate business needs into technical specs.
• Mentor junior developers and contribute to best practices and code reviews.

Skills

Databricks

SQL Server

ETL/ELT

Power BI

Tableau

Alteryx Designer

Data Ingestion

Delta Lake

Lakehouse Federation

Unity Catalog

Azure Databricks

Oracle

PostgreSQL

Windows batch/SSIS/SSDT

Education

Bachelor’s in Computer Science

Master’s degree (preferred)

Tools

SSIS

SSDT for Visual Studio

Azure SQL

Oracle

TOAD

Job description

Sep 9, 2026

We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

To learn more about CIBC, please visit CIBC.com

What you’ll be doing

As a Senior Consultant, Analytics Engineer you will be a key member of the Enterprise Data Engineering team. You need to be proficient in Databricks, Delta Lake for data management, SQL and data engineering solutions. Essential skills also include data engineering (ETL/ELT, batch and streaming), Power BI connection to Cloud data sources, and understanding Azure Databricks security and architecture. Strong communication and the ability to translate business requirements into technical solutions are also crucial.

You have hands‑on experience designing and implementing data engineering solutions using Databricks on cloud platforms (AWS, Azure, GCP). Must have proficiency in Databricks, Data Ingestion, and strong knowledge of Delta Lake, Lakehouse Federation, and Unity Catalog for data governance. Requires expertise in Azure SQL, SQL Server, Oracle, PostgreSQL, ETL processes, complex queries, advanced database object creation, and SQL Server management (optimization, indexing, backup/recovery, lifecycle management, access control). Experience with SSIS, SSDT for Visual Studio, Windows DOS Batch, and Windows Scheduler is an asset. You should understand enterprise processes, security access controls, SDLC, and version control (GitHub). Key attributes include strong communication, adaptability, integrity, reliability, innovation, and commitment to high‑quality service and continuous learning.

How you’ll succeed

• Databricks Data Pipeline Development – Perform end‑to‑end Databricks data pipeline development, including data ingestion, transformation, and storage using Query and Notebook. Orchestrate workflows based on dependencies and data refresh requirements. Optimize pipeline performance to improve efficiency and reduce processing time while leveraging the Databricks Lakehouse Platform for scalable data processing.
• Data Quality and Security Management – Ensure data quality, integrity, currency, and security throughout the data lifecycle. Troubleshoot and resolve data‑related issues to minimize operational disruptions. Document technical specifications and maintain comprehensive records of data processes. Maintain an enterprise mindset when configuring secure authentication methods for Databricks, Power BI, Alteryx, and other tools.
• Stakeholder Collaboration and Requirements Mapping – Coordinate with Analytics teams for downstream Tableau and Power BI reports. Collaborate with stakeholders to understand data requirements and deliver solutions that meet business needs. Apply principles of data analysis to map business needs to technical requirements and document them effectively.
• Continuous Improvement and Best Practices – Stay updated with the latest advancements in data technologies to drive innovation. Contribute to the development of best practices for data management. Mentor junior developers to foster a culture of continuous learning and improvement. Participate in code reviews to ensure adherence to coding standards and best practices.

Who you are

• You have 7+ years of professional experience, with proficiency in Databricks (Workspace, Catalog, Compute, Query, Notebook, Workflow, Jobs, Pipelines, Data Ingestion) and SQL Server (complex queries, stored procedures, triggers, SSIS, SSDT for Visual Studio). Strong data engineering and ETL/ELT expertise, plus experience with Alteryx Designer and Server. Familiarity with Power Apps, Power Automate, Power Pages, Copilot Studio, Windows DOS batch jobs, and Windows Scheduler. Technical skills include Oracle (SQL, TOAD), PostgreSQL, Power BI, Tableau. Financial services industry experience preferred. Agile methodologies, presentation skills, and AI tool familiarity are valued. Bachelor’s in Computer Science required; Master’s preferred.
• You’re driven to succeed. Passionate innovators, creators, collaborators, and leaders who are up for the challenge of building the bank of the future and delivering solutions that meet our clients’ changing needs
• You give meaning to data. You enjoy investigating complex problems and making sense of information. Understanding internal banking processes and how they translate into data outputs. You put our clients first. You engage with purpose to find the right solutions. You go the extra mile because it’s the right thing to do.
• You're digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends, leverage data and analytics to build competitive advantage to enhance our client focus and become an analytics leader, focusing on continuous advancement.
• You're driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.
• Values matter to you. You bring your real self to work, and you live our values – trust, teamwork, and accountability.

What CIBC Offers

At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential.

We work to recognize you in meaningful, personalized ways including a competitive compensation, a banking benefit*, wellbeing support and additional offers such as employee and family assistance programs and MomentMakers, our social, points‑based recognition program.

Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

*Subject to program terms and conditions

What you need to know

CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers‑[e-mail]

CIBC is committed to clarity in our hiring process. All roles posted are opportunities we’re actively recruiting for, unless stated otherwise.

You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit

We may ask you to complete an attribute‑based assessment and other skills test (such as simulation, coding, French proficiency).

We use artificial intelligence tools during the recruitment process. Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

Expected End Date

2028-06-30

Job Location

Toronto‑81 Bay, 22nd Floor

Employment Type

Temporary (Fixed Term)

Weekly Hours

37.5

Skills

Alteryx, Alteryx, Analytical Thinking, Analytics, Collaboration, Data Analysis, Data Analytics, Databasing, Databricks Platform, Data Engineering, Data Ingestion, Data Lifecycle, Data Management, Data Operations, Data Pipelines, Data Processing, Data Quality, Data Query, Data Reporting, Data Requirements, Data Services, Datasets, Datasource, Data Tools, Data Visualization {+ 12 more}

CIBC offers innovative financial products and services designed to empower clients in achieving their goals through a commitment to trust, teamwork, and accountability.

Banking Credit Intermediation Financial Services

Company size 10,001+ employees

Company type Public company

Total funding $3B Post IPO Debt