Data Engineering Solutions Architect - Technology Services Group

Optimus SBR

$110K — $160K *
Technical Services
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in data engineering or data architecture roles.
  • Strong hands-on experience with data modeling tools like Erwin.
  • Proven capability to reverse-engineer and manage schema changes.
  • Advanced SQL skills across multiple RDBMS platforms.
  • Experience designing ETL/ELT pipelines using SSIS, ADF, or similar tools.
  • Knowledge of BI/reporting tools and their data consumption patterns (preferred).
  • Candidates with consulting experience are highly preferred.

Responsibilities

  • Analyze business requirements to design scalable data architectures.
  • Build logical and physical data models using industry-standard tools.
  • Design high-quality Entity Relationship (ER) diagrams following best practices.
  • Reverse engineer existing databases into clear ERDs.
  • Manage schema lifecycle and change control effectively.
  • Design and build end-to-end data pipelines using various tools.
  • Facilitate requirement gathering sessions with clients to understand needs.

Benefits

  • Annual Bonus
  • Retirement savings through Group RRSP program
  • Company equity for Managers and above
  • Maternity and Parental Leave with top-up compensation
  • Hybrid work model when project permits
  • 12 Optimus Days paid
  • Top-tier health benefits
  • Life & disability insurance
  • Health Spending Dollars
Full Job Description
Continued growth has created an exciting opportunity for a Data Engineering Solutions Architect (Manager/Senior Manager Level) to join our Technology Services Group.

In this role, you will design and build modern data solutions that combine robust data engineering practices with strong data architecture and modeling discipline. You will collaborate with a team of high-performing professionals and entrepreneurial thinkers who share a passion for helping clients transform how they use data.

You are ambitious, adaptable, and energized by solving complex problems in fast-paced environments. You're comfortable engaging directly with clients, wearing multiple hats, and navigating shifting priorities while delivering high-quality technical solutions.

Responsibilities:

Data Architecture & Modeling
• Analyze business and technical requirements to design scalable, efficient data architectures.
• Build logical and physical data models using industry-standard tools such as Erwin (or equivalent).
• Design high-quality Entity Relationship (ER) diagrams following best practices in normalization, naming conventions, metadata, and data governance.
• Reverse engineer existing databases and schemas into ERDs, ensuring accuracy, traceability, and clarity.
• Manage schema lifecycle and change control, including versioning, impact assessment, and controlled deployment across environments.
• Translate source system structures into consolidated, analytics-ready data models for data warehouses and marts.

Data Engineering & ETL/ELT Development
• Design and build end-to-end data pipelines using both low-code/no-code and code-based tools, including SSIS, Azure Data Factory (ADF), Alteryx, Power Automate, and related technologies.
• Develop and optimize data ingestion, transformation, and integration workflows across diverse data sources.
• Implement ETL/ELT best practices to ensure reliability, accuracy, scalability, and performance.
• Support the creation of data warehouses, data marts, and reusable data assets for analytics, reporting, and visualization.
• Troubleshoot pipeline, performance, and data quality issues with a hands-on, solution-focused approach.

Database Platforms
• Work with and design solutions across multiple database platforms, including:

o SQL Server

o Databricks

o MySQL

o PostgreSQL

o (Additional cloud or on-premise data platforms are considered assets)

Client & Project Delivery
• Facilitate requirement gathering sessions with clients to understand business needs and data-related challenges.
• Translate complex technical concepts into clear, actionable recommendations for both technical and non-technical audiences.
• Contribute to solution design, architecture documentation, project plans, and technical deliverables.
• Work collaboratively with cross-functional teams to ensure solution alignment with client objectives.
• Support delivery of high-quality consulting engagements with a focus on value, clarity, and outcomes.

Qualifications:

Technical Qualifications
• 5-7 years of relevant experience in data engineering, data architecture, or combined roles.
• Strong, hands-on experience with data modeling tools (e.g., Erwin) and ERD best practices.
• Demonstrated capability to reverse-engineer, deploy, and manage schema changes across environments.
• Advanced experience with SQL and SQL scripting across multiple RDBMS platforms.
• Proven ability to design and build ETL/ELT pipelines using tools such as SSIS, ADF, Alteryx, Power Automate, or similar.
• Experience converting OLTP systems into OLAP data warehouses and data marts.
• Knowledge of BI/reporting tools, visualization platforms, and their data consumption patterns (asset).

Consulting & Professional Services Experience
• Candidates with consulting experience will be given strong preference.
• Experience delivering technology or data projects in a client-facing consulting environment.
• Ability to manage stakeholder relationships, clarify complex requirements, and facilitate discussions between business and technical teams.
• Strong problem-solving skills with the ability to structure ambiguous challenges into actionable solution paths.
• Comfortable preparing and delivering presentations, architectural artifacts, and recommendations to clients and executive audiences.
• Experience supporting project scoping, estimation, and proposal development (asset).

Personal Attributes
• Self-directed, with the ability to thrive in a fast-paced, dynamic environment.
• Strong verbal, written, and presentation communication skills.
• Results-driven, with the ability to meet aggressive timelines and manage competing priorities.
• Innovative, dynamic, and entrepreneurial in approach.
• Strong work ethic, energy, enthusiasm, and commitment to professional growth.

Education
• University degree in a related field.

Interview recording & AI notetakers

During the interview process, we may use transcription or AI notetaking tools. To protect privacy, legal compliance, and interviewer/candidate experience, the use of these tools is not permitted without your prior consent. We will ask for your consent and if you wish to decline, handwritten notes are welcome.

Compensation: Salary Range is $110,000-$160,000 CAD

Salary ranges are designed to be competitive. Individual compensation is determined by skills, qualifications, and experience and is subject to negotiation and subject to the candidate meeting the specific requirements or the role. Exceptional candidates may be considered above the top of the range, and pay can increase quickly for those who make a big impact in the role.

A Taste of Some of the Great Benefits at Optimus

Financial
  • Annual Bonus
  • Retirement savings through our Group RRSP program
  • Company equity for Managers and above
  • Maternity and Parental Leave with top up compensation

Flexibility
  • Work in a Hybrid model (when client projects permit)
  • 12 Optimus Days paid

Health
  • Top-tier health benefits
  • Life & disability insurance
  • Health Spending Dollars


So, what's next?

At Optimus SBR, we're all about creating a space where everyone belongs and can thrive. We're committed to diversity and inclusion, welcoming people from all backgrounds. We're proud to back missions like the BlackNorth Initiative to drive real change. Let's build something meaningful together, where your voice matters and fearless ideas can shine.

Vacancy Status: Existing vacancy within our organization.

Submit your application with your resume today! While we appreciate all applications, only selected candidates will be contacted for interviews.

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