Senior Developer – Databricks (Data Engineering) Cognizant (NASDAQ: CTSH) is a leading professional services company, helping organizations modernize technology, reimagine processes, and transform experiences in a fast-changing world. We combine deep industry expertise with a global delivery model to drive measurable business outcomes.
We are committed to fostering an inclusive, collaborative workplace where innovation thrives and employees can grow and succeed.
About the Role We are seeking a highly experienced
Senior Developer – Databricks
to design and build scalable, cloud-based analytics platforms. This role requires deep hands‑on expertise in
Databricks SQL, PySpark, and Databricks Workflows , with a strong focus on enabling enterprise‑scale data solutions.
You will collaborate closely with business and technology stakeholders to translate complex requirements into robust data architectures. Experience in the
Life & Annuities insurance domain
is a strong asset.
Key Responsibilities
Design and evolve
end-to-end data architecture
on Databricks to support scalable analytics and reporting
Develop and optimize
PySpark‑based pipelines
for large‑scale data processing (structured and semi‑structured)
Build high‑performance
Databricks SQL models, queries, and semantic layers
for reporting and analytics
Define and implement
Databricks Workflows orchestration standards , including scheduling, dependency management, and monitoring
Translate business needs into
scalable, reliable data solutions
Establish best practices for
coding, testing, performance tuning, and monitoring
Implement enterprise
data governance standards
(lineage, access controls, naming conventions)
Ensure architectures align with
security, cost efficiency, and cloud best practices
Collaborate with data modelers to define
logical and physical data models
Partner with platform and security teams to ensure
policy compliance
Drive
continuous improvement
through performance analysis and optimization
Contribute reusable frameworks and accelerators
Communicate
technical decisions and trade‑offs
to diverse stakeholders
Required Qualifications
6+ years of experience in data engineering or cloud‑based analytics
Strong hands‑on expertise in
Databricks SQL ,
PySpark , and
Databricks Workflows
Experience building
scalable, high‑performance data pipelines
Strong knowledge of
distributed data processing and data warehousing
Experience with
data governance, quality, and security frameworks
Excellent
communication and stakeholder engagement
skills
Bachelor’s degree in a relevant field or equivalent experience
Preferred Qualifications
Experience in
Life & Annuities insurance
Experience with
Azure data ecosystem
or similar cloud platforms
Strong understanding of
data modeling and semantic layers
Databricks Certified Data Engineer Professional
Azure Data Engineer Associate
Equivalent cloud/data certifications
Work Environment
Location:
Toronto, Ontario, Canada
Work Model:
Hybrid (combination of in‑office and remote work)
Shift:
Day shift with collaboration across distributed teams
Salary & Benefits (Canada)
Base Salary Range:
CAD $95,000 – $120,000 per year (Actual compensation will be determined based on experience, skills, and location.)
Comprehensive
health and dental coverage
Life and disability insurance
Retirement savings plans (RRSP with company contributions where applicable)
Paid time off, including
vacation and statutory holidays
Employee wellness programs
and mental health support
Opportunities for
learning, certification, and career advancement
Flexible work arrangements to support work‑life balance
Why Cognizant
Work on
cutting‑edge data and analytics platforms
Opportunity to influence
enterprise‑scale transformation initiatives
Collaborative and inclusive work culture
Continuous learning and professional growth opportunities
Equal Opportunity Statement Cognizant is an equal opportunity employer. We are committed to creating a diverse and inclusive environment and encourage applications from all qualified candidates. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
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We are committed to fostering an inclusive, collaborative workplace where innovation thrives and employees can grow and succeed.
About the Role We are seeking a highly experienced
Senior Developer – Databricks
to design and build scalable, cloud-based analytics platforms. This role requires deep hands‑on expertise in
Databricks SQL, PySpark, and Databricks Workflows , with a strong focus on enabling enterprise‑scale data solutions.
You will collaborate closely with business and technology stakeholders to translate complex requirements into robust data architectures. Experience in the
Life & Annuities insurance domain
is a strong asset.
Key Responsibilities
Design and evolve
end-to-end data architecture
on Databricks to support scalable analytics and reporting
Develop and optimize
PySpark‑based pipelines
for large‑scale data processing (structured and semi‑structured)
Build high‑performance
Databricks SQL models, queries, and semantic layers
for reporting and analytics
Define and implement
Databricks Workflows orchestration standards , including scheduling, dependency management, and monitoring
Translate business needs into
scalable, reliable data solutions
Establish best practices for
coding, testing, performance tuning, and monitoring
Implement enterprise
data governance standards
(lineage, access controls, naming conventions)
Ensure architectures align with
security, cost efficiency, and cloud best practices
Collaborate with data modelers to define
logical and physical data models
Partner with platform and security teams to ensure
policy compliance
Drive
continuous improvement
through performance analysis and optimization
Contribute reusable frameworks and accelerators
Communicate
technical decisions and trade‑offs
to diverse stakeholders
Required Qualifications
6+ years of experience in data engineering or cloud‑based analytics
Strong hands‑on expertise in
Databricks SQL ,
PySpark , and
Databricks Workflows
Experience building
scalable, high‑performance data pipelines
Strong knowledge of
distributed data processing and data warehousing
Experience with
data governance, quality, and security frameworks
Excellent
communication and stakeholder engagement
skills
Bachelor’s degree in a relevant field or equivalent experience
Preferred Qualifications
Experience in
Life & Annuities insurance
Experience with
Azure data ecosystem
or similar cloud platforms
Strong understanding of
data modeling and semantic layers
Databricks Certified Data Engineer Professional
Azure Data Engineer Associate
Equivalent cloud/data certifications
Work Environment
Location:
Toronto, Ontario, Canada
Work Model:
Hybrid (combination of in‑office and remote work)
Shift:
Day shift with collaboration across distributed teams
Salary & Benefits (Canada)
Base Salary Range:
CAD $95,000 – $120,000 per year (Actual compensation will be determined based on experience, skills, and location.)
Comprehensive
health and dental coverage
Life and disability insurance
Retirement savings plans (RRSP with company contributions where applicable)
Paid time off, including
vacation and statutory holidays
Employee wellness programs
and mental health support
Opportunities for
learning, certification, and career advancement
Flexible work arrangements to support work‑life balance
Why Cognizant
Work on
cutting‑edge data and analytics platforms
Opportunity to influence
enterprise‑scale transformation initiatives
Collaborative and inclusive work culture
Continuous learning and professional growth opportunities
Equal Opportunity Statement Cognizant is an equal opportunity employer. We are committed to creating a diverse and inclusive environment and encourage applications from all qualified candidates. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
#J-18808-Ljbffr
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