Senior Data Engineer - Azure & Databricks

Lyons Consulting Group - BC, CA

Full-time - Senior

BC, CA

Professional, Scientific, and Technical Services

About the position

The role needs a techno-functional leader with critical thinking and a continuous learner mindset. Someone with a startup approach and demeanor, who is an excellent motivator, brings people together and collaborates to propel our business forward. This individual will establish relationships with account teams to drive business growth. As a Managing Data Architect, you will be pivotal in designing and implementing cloud-based data platforms and seamless data integration solutions. This role requires a deep understanding of cloud technologies, data architecture, and integration patterns to drive innovation and efficiency in delivering scalable and integrated solutions.

Responsibilities

• Collaborate with Account teams to identify, develop, and present modern cloud solutions that meet client needs.
• Provide technical mentorship and support throughout the sales process.
• Identify business and technical requirements of customers and translate them into effective solutions.
• Design and implement cloud-based data platforms and seamless data integration solutions.
• Develop and present customized demonstrations and proof-of-concepts showcasing the capabilities of Modern Cloud Platforms (Azure, AWS).
• Respond to technical inquiries, conduct technical assessments, and develop technical proposals.
• Mentor and lead technical data teams in client engagements, ensuring technical work meets industry-proven quality standards.
• Deep understanding of cloud technologies, data architecture, and integration patterns.
• Experience in designing and architecting cloud-native data platforms.
• Knowledge of integration strategies and designing APIs.
• Familiarity with microservices architecture and DevOps practices.
• Expertise in data modernization strategies and cloud migration.
• Strong problem-solving and analytical skills.
• Excellent communication and interpersonal skills.
• Designing and architecting cloud-native data platforms.
• Ensuring solutions are scalable, resilient, cost-effective, and optimized for cloud performance.
• Collaborating with development teams on suitable programming languages, frameworks, and containerization strategies.
• Designing and implementing solutions with Microsoft Fabric.
• Developing integration strategies for cloud applications.
• Designing and implementing APIs (RESTful, GraphQL).
• Utilizing middleware and integration platforms for efficient data flow.
• Designing and implementing microservices architectures.
• Defining best practices for microservices development, deployment, and management.
• Implementing CI/CD pipelines for cloud applications.
• Ensuring efficient automation of deployment processes, monitoring, and logging.
• Building and delivering data modernization strategies.
• Developing migration plans for legacy data warehouses and ETL processes.
• Designing robust data governance, security, and compliance frameworks.

Requirements

• 8 years of experience, with significant experience leading cloud migration and modernization initiatives.
• Bachelor's or master's degree in Computer Science, Information Technology, or a related field or equivalent experience.
• Proven track record as a Cloud Data Architect.
• Strong understanding of data modeling, ETL processes, and data warehousing concepts.
• Familiarity with legacy systems (e.g., SQL Server, SSIS, Greenplum).
• In-depth knowledge of Microsoft Azure; AWS and Google Cloud are desirable.
• Familiarity with containerization technologies (e.g., Docker, Kubernetes).
• Experience in technical presales.
• Experience implementing data governance frameworks and MDM strategies.
• Experience working with customers to build and implement strategic plans for Cloud solutions.
• Participation in industry events and conferences.

Nice-to-haves

• Azure Solutions Architect Expert
• Azure Data Engineer Associate
• Fabric Data Engineer Associate
• Fabric Analytics Engineer Associate
• Microservices-related certifications (e.g., CKAD).
• Azure Databricks

Benefits

• Collaborating with teams of creative, fun, and driven colleagues
• Flexible work options enabling time and location-based flexibility
• Company-provided home office equipment
• Virtual collaboration and productivity tools to enable hybrid teams
• Comprehensive benefits program (Health, Welfare, Retirement and Paid time off)
• Other perks and wellness benefits like discount programs, and gym/studio access.
• Paid Parental Leave and coaching, baby welcome gift, and family care/illness days
• Back-up childcare/elder care, childcare discounts, and subsidized virtual tutoring
• Tuition assistance and weekly hot skill development opportunities
• Experiential, high-impact learning series events
• Access to mental health resources and mindfulness programs
• Access to join Capgemini Employee Resource Groups around communities of interest