Principal Data Warehouse Architect

2 days ago

Toronto, Ontario, Canada TTEC Digital Full time US$120,000 - US$180,000 per year
At TTEC Digital, we coach clients to ensure their employees feel valued, and fully supported, because an amazing customer experience is an employee first process. Our vision is the same, a place where employees know they can thrive.
We are seeking an experienced Principal Data Warehouse Architect to join our Analytics and Insights team. Reporting to a Director, the person in this role will lead high‑impact Data Science and Engineering initiatives, focusing on the design and architecture of Google Cloud Platform (GCP) services. You will play a key role in transforming transactional raw data into structured, actionable insights that drive decision‑making and business growth. What you'll be doing:
  • Design and deploy scalable Google Cloud services in GCP.
  • Implement IAM access controls to ensure secure and compliant data environments.
  • Develop and implement robust data ingestion pipelines from diverse sources.
  • Develop and enforce data validation processes to maintain accuracy and reliability.
  • Enhance data quality and efficiency through continuous optimization.
  • Analyze raw data to uncover patterns, trends, and opportunities.
  • Produce clear design documentation and solution roadmaps.
  • Lead projects independently while collaborating effectively within larger teams.
  • Mentor and cross‑train junior and senior Data Engineers, sharing expertise on complex assignments.
  • Advance your skills through hands‑on experience and formal learning opportunities.
  • Support pre‑sales activities by providing accurate work estimates and technical input.
  • Partner closely with Project Management to deliver projects on time and within budget.
  • Travel occasionally as required for project or team needs.
Key Competencies you'll bring:
  • The Principal Architect demonstrates exceptional interpersonal skills, building trusted relationships through integrity, honesty, and clear communication. With high energy, adaptability, and resilience, they thrive in dynamic environments, prioritizing effectively and solving complex problems with resourcefulness.
  • As a leader, they inspire confidence and motivate diverse teams with a positive, forward‑looking attitude. They provide mentorship and guidance to junior colleagues, particularly on sensitive or high‑stakes projects, while championing inclusivity and collaboration to drive collective success.
  • Operationally, they oversee multiple projects and products with precision and efficiency, delivering customer‑centric solutions while optimizing time and resources. Their deep expertise enables them to resolve complex technical and service challenges, ensuring operational excellence through disciplined execution and continuous improvement.
  • Technically, they translate complex concepts into clear, actionable insights for varied audiences. Proficient with Microsoft Project, Visio, and Office tools, they leverage architectural expertise to design scalable, resilient data solutions while staying current with emerging technologies to drive innovation in data engineering practices.
Technical skills we're looking for:
  • Proficiency in Terraform for infrastructure automation.
  • Advanced programming skills in Python (pandas, numpy, PySpark).
  • Strong SQL expertise across MS SQL, OracleDB, and Teradata.
  • Hands‑on experience with Google Cloud Platform (GCP) services.
  • Familiarity with CI/CD tools to streamline deployment.
  • Expertise in Big Data pipeline tools (Spark, Pig, Hive, Sqoop, Kafka).
  • Knowledge of Data Governance tools such as DLP and Dataplex.
  • Experience working in Agile/Scrum environments.
  • Skilled in REST services and API management, including:
  • Implementing API proxies via Apigee X/Apigee Edge.
  • Designing, developing, and testing APIs with Swagger/OpenAPI specifications.
Education, Skills, Experience and Certifications we're looking for:
  • Post‑secondary degree or diploma in Computer Science, MIS, or IT‑related field (BA/BS in unrelated field considered with relevant experience).
  • 8+ years of experience in Data Engineering.
  • 3+ years of application design and development in a cloud environment.
  • 2+ years building and deploying containerized applications in Kubernetes.
  • 2+ years coding REST services and APIs using Python, C#, , or Java.
  • Google Cloud Certified Professional Data Engineer required.
  • Google Cloud Certified Cloud DevOps Engineer preferred (optional).
#LI-BN1
 About Us TTEC Digital and our 1,800+ employees, pioneer engagement and growth solutions that fuel the exceptional customer experience (CX). Our sister company, TTEC Engage, is a 60,000+ employee service company, with customer service representatives located around the world. TTEC Holdings Inc. is the parent company for both Digital and Engage. When clients have a holistic need, they can draw from these independently managed centers of excellence, TTEC Digital and TTEC Engage.
We are also delighted to share that TTEC has been awarded the Great Place To Work certification based on outstanding employee experience across 14 countries.
TTEC is a proud equal opportunity employer where all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability. TTEC has fully embraced and is committed to expanding our diverse and inclusive workforce. We strive to reflect the communities we serve while delivering amazing service and technology centered around humanity.
Rarely do applicants meet all desired job qualifications, so if you feel you would succeed in the role above, please take a moment and share your qualifications.
As part of our commitment to fair and efficient hiring practices, TTEC Digital uses artificial intelligence (AI) tools to help screen applications and match candidates to job requirements. These tools assist our human recruiters but do not make final hiring decisions.   #LI-RemoteCanada We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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