As a Manager Data Engineer at Wavestone you will be expected to help address strategic as well as detailed client needs specifically serving as a trusted advisor to C-level executives and be comfortable supporting and leading hands-on data projects with technical teams.
In this role you would be leading or supporting high-impact data transformation data modernization and data initiatives to accelerate and enable AI solutions bridging business strategy and technical execution. You will architect and deliver robust scalable data solutions while mentoring teams and helping to shape the firms data consulting offerings and skills. This role requires a unique blend of strategic vision technical depth and consulting leadership.
Key Responsibilities
- Lead complex client engagements in data engineering analytics and digital transformation from strategy through hands-on implementation.
- Advise C-level and senior stakeholders on data strategy architecture governance and technology adoption to drive measurable business value.
- Architect and implement enterprise-scale data platforms pipelines and cloud-native solutions (Azure AWS Snowflake Databricks etc.).
- Oversee and optimize ETL/ELT processes data integration and data quality frameworks for large complex organizations.
- Translate business objectives into actionable technical road maps balancing innovation scalability and operational excellence.
- Mentor and develop consultants and client teams fostering a culture of technical excellence continuous learning and high performance.
- Drive business development by shaping proposals leading client pitches and contributing to thought leadership and market offerings.
- Stay at the forefront of emerging technologies and industry trends in data engineering AI/ML and cloud platforms.
Key Competencies & Skills
- Strategic Data Leadership: Proven ability to set and execute data strategy governance and architecture at the enterprise level.
- Advanced Data Engineering: Deep hands-on experience designing building and optimizing data pipelines and architectures (Python SQL Spark Databricks Snowflake Azure AWS etc.).
- Designing Data Models: Experience creating conceptual logical and physical data models that leverage different data modeling concepts and methodologies (normalization/denormalization dimensional typing data vault methodology partitioning/embedding strategies etc.) to meet solution requirements.
- Cloud Data Platforms: Expertise in architecting and deploying solutions on leading cloud platforms (Azure AWS GCP Snowflake).
- Data Governance & Quality: Mastery of data management MDM data quality and regulatory compliance (e.g. IFRS17 GDPR).
- Analytics & AI Enablement: Experience enabling advanced analytics BI and AI/ML initiatives in complex environments.
- Executive Stakeholder Management: Ability to communicate and influence at the C-suite and senior leadership level.
- Project & Team Leadership: Demonstrated success managing project delivery budgets and cross-functional teams in a consulting context.
- Continuous Learning & Innovation: Commitment to staying ahead of industry trends and fostering innovation within teams.
Qualifications :
Education
- Bachelors or masters degree in Computer Science Engineering Data Science or related field or equivalent business experience.
Required experience
- 8 years of experience in data engineering data architecture or analytics consulting with at least 2 years in a leadership or management role.
- Demonstrated success in client-facing roles ideally within a consulting or professional services environment.
- Advanced proficiency in Python SQL and modern data engineering tools (e.g. Spark Databricks Airflow).
- Experience with cloud data platforms (Azure AWS GCP Snowflake).
- Relevant certifications (e.g. AWS Certified Data Analytics Azure Data Engineer Databricks Snowflake) are a strong plus.
- Exceptional problem-solving analytical and communication skills.
- Ability to travel based on client need.
- Industry exposure: Deep experience in Insurance Pharma or Financial Services.
Additional Information :
Our commitment: Wavestones Positive Way
At Wavestone we believe our employees are our greatest ambassadors. By embodying our shared values vision mission and corporate brand youll become a powerful force for positive change. We are united by a shared commitment to making a positive impact no matter where we are. This is better defined by our value base The Positive Way which serves as the glue that binds us together:
- Energetic - A positive attitude gives energy to lead projects to success. While we may not control the circumstances we can always choose how we respond to them.
- Responsible - We act with integrity and take ownership of our decisions and actions considering their impact around us.
- Together - We want to be a great team not a team of greats. The teams strength is each individual member each members strength is the team.
We are Energetic Responsible and Together!
Benefits
- Participation in corporate bonus program base 15% for achieving baseline targets paid at the end of June.
- Matching employee contributions to retirement plan (401k or RRSP) to a maximum of 4% of employees base salary
- 3 weeks paid vacation (AC/C) or 4 weeks paid vacation (SC and above) per calendar year (or pro rata for employees starting after January 1st)
- Vacation should be used within the calendar year with limited options to roll over remaining days into the first 3 months of the following year
- 10 days off for public holidays
- 5 sick days per year
- 5 training days available for personal advancement
- Company laptop and phone (transitioning from company provided iPhone to BYOD program that incorporates a monthly usage payment)
- Allowance to promote ergonomic and effective work from home infrastructure dependent on individual needs
- Health benefits
- Enrollment in OHIP supplemental plan that seeks to align benefit options (where it makes sense and where economically practical) with US team e.g. dental vision LTD
- For employees who are required to work in a location with a different tax authority Wavestone will support the filing and advance payment of any tax obligations any tax refunds directly attributable from Wavestone payments should returned to Wavestone when received by the employee
Travel and Location
This full-time position is based in the province of Ontario Canada. Travel requirements tend to fluctuate depends on your projects and client needs.
Additional information
Wavestone is an equal opportunity employer. We embrace diversity as a core component of our culture. Our collective success depends heavily on the recruitment and inclusion of qualified professionals regardless of individual characteristics such as race ancestry religion color sex age national origin sexual orientation gender identity disability veterans status or any characteristic protected by law.
Remote Work :
Yes
Employment Type :
Full-time
As a Manager Data Engineer at Wavestone you will be expected to help address strategic as well as detailed client needs specifically serving as a trusted advisor to C-level executives and be comfortable supporting and leading hands-on data projects with technical teams. In this role you would be lea...
As a Manager Data Engineer at Wavestone you will be expected to help address strategic as well as detailed client needs specifically serving as a trusted advisor to C-level executives and be comfortable supporting and leading hands-on data projects with technical teams.
In this role you would be leading or supporting high-impact data transformation data modernization and data initiatives to accelerate and enable AI solutions bridging business strategy and technical execution. You will architect and deliver robust scalable data solutions while mentoring teams and helping to shape the firms data consulting offerings and skills. This role requires a unique blend of strategic vision technical depth and consulting leadership.
Key Responsibilities
- Lead complex client engagements in data engineering analytics and digital transformation from strategy through hands-on implementation.
- Advise C-level and senior stakeholders on data strategy architecture governance and technology adoption to drive measurable business value.
- Architect and implement enterprise-scale data platforms pipelines and cloud-native solutions (Azure AWS Snowflake Databricks etc.).
- Oversee and optimize ETL/ELT processes data integration and data quality frameworks for large complex organizations.
- Translate business objectives into actionable technical road maps balancing innovation scalability and operational excellence.
- Mentor and develop consultants and client teams fostering a culture of technical excellence continuous learning and high performance.
- Drive business development by shaping proposals leading client pitches and contributing to thought leadership and market offerings.
- Stay at the forefront of emerging technologies and industry trends in data engineering AI/ML and cloud platforms.
Key Competencies & Skills
- Strategic Data Leadership: Proven ability to set and execute data strategy governance and architecture at the enterprise level.
- Advanced Data Engineering: Deep hands-on experience designing building and optimizing data pipelines and architectures (Python SQL Spark Databricks Snowflake Azure AWS etc.).
- Designing Data Models: Experience creating conceptual logical and physical data models that leverage different data modeling concepts and methodologies (normalization/denormalization dimensional typing data vault methodology partitioning/embedding strategies etc.) to meet solution requirements.
- Cloud Data Platforms: Expertise in architecting and deploying solutions on leading cloud platforms (Azure AWS GCP Snowflake).
- Data Governance & Quality: Mastery of data management MDM data quality and regulatory compliance (e.g. IFRS17 GDPR).
- Analytics & AI Enablement: Experience enabling advanced analytics BI and AI/ML initiatives in complex environments.
- Executive Stakeholder Management: Ability to communicate and influence at the C-suite and senior leadership level.
- Project & Team Leadership: Demonstrated success managing project delivery budgets and cross-functional teams in a consulting context.
- Continuous Learning & Innovation: Commitment to staying ahead of industry trends and fostering innovation within teams.
Qualifications :
Education
- Bachelors or masters degree in Computer Science Engineering Data Science or related field or equivalent business experience.
Required experience
- 8 years of experience in data engineering data architecture or analytics consulting with at least 2 years in a leadership or management role.
- Demonstrated success in client-facing roles ideally within a consulting or professional services environment.
- Advanced proficiency in Python SQL and modern data engineering tools (e.g. Spark Databricks Airflow).
- Experience with cloud data platforms (Azure AWS GCP Snowflake).
- Relevant certifications (e.g. AWS Certified Data Analytics Azure Data Engineer Databricks Snowflake) are a strong plus.
- Exceptional problem-solving analytical and communication skills.
- Ability to travel based on client need.
- Industry exposure: Deep experience in Insurance Pharma or Financial Services.
Additional Information :
Our commitment: Wavestones Positive Way
At Wavestone we believe our employees are our greatest ambassadors. By embodying our shared values vision mission and corporate brand youll become a powerful force for positive change. We are united by a shared commitment to making a positive impact no matter where we are. This is better defined by our value base The Positive Way which serves as the glue that binds us together:
- Energetic - A positive attitude gives energy to lead projects to success. While we may not control the circumstances we can always choose how we respond to them.
- Responsible - We act with integrity and take ownership of our decisions and actions considering their impact around us.
- Together - We want to be a great team not a team of greats. The teams strength is each individual member each members strength is the team.
We are Energetic Responsible and Together!
Benefits
- Participation in corporate bonus program base 15% for achieving baseline targets paid at the end of June.
- Matching employee contributions to retirement plan (401k or RRSP) to a maximum of 4% of employees base salary
- 3 weeks paid vacation (AC/C) or 4 weeks paid vacation (SC and above) per calendar year (or pro rata for employees starting after January 1st)
- Vacation should be used within the calendar year with limited options to roll over remaining days into the first 3 months of the following year
- 10 days off for public holidays
- 5 sick days per year
- 5 training days available for personal advancement
- Company laptop and phone (transitioning from company provided iPhone to BYOD program that incorporates a monthly usage payment)
- Allowance to promote ergonomic and effective work from home infrastructure dependent on individual needs
- Health benefits
- Enrollment in OHIP supplemental plan that seeks to align benefit options (where it makes sense and where economically practical) with US team e.g. dental vision LTD
- For employees who are required to work in a location with a different tax authority Wavestone will support the filing and advance payment of any tax obligations any tax refunds directly attributable from Wavestone payments should returned to Wavestone when received by the employee
Travel and Location
This full-time position is based in the province of Ontario Canada. Travel requirements tend to fluctuate depends on your projects and client needs.
Additional information
Wavestone is an equal opportunity employer. We embrace diversity as a core component of our culture. Our collective success depends heavily on the recruitment and inclusion of qualified professionals regardless of individual characteristics such as race ancestry religion color sex age national origin sexual orientation gender identity disability veterans status or any characteristic protected by law.
Remote Work :
Yes
Employment Type :
Full-time
View more
View less