We believe in a world where data stimulates growth, creativity and inspiration. A world where people and technology work in concert to create new outcomes, new opportunities, and new customer connections. We believe that data, harnessed properly, can spark powerful consumer insights, business transformation and marketing innovation. We are a full stack Google partner with a 14 year track record of delivering solutions to leading brands across multiple industries.

As a Kepler Group company, Napkyn draws from Kepler's strategic, technology- and data-driven marketing expertise to provide world-class Google marketing support.

The Napkyn team is guided by Kepler’s values:

Kepler prides itself on being a great place to work. In fact, we’re proud to share that AdAge just recognized Kepler as the #7 Best Place to Work", validating our investment in our team and our clients.

We’re transparent with our employees. You’ll hear updates on company financials, how we’re performing against bonus goals, and how we’re responding to challenges we face.

We’re growing. For you, that means unparalleled growth opportunities and a role in shaping the direction of the company.

We’re fun, authentic, empathetic, and ever-in-motion. You’ll work with and learn from the smartest people in the industry and have a blast doing it.

We’re human. You’ll have an option to join Employee Resource Groups, DEI initiatives, and altruism efforts to bring positive societal impact.

About the role: This role bridges engineering, analytics, and business—turning data into insights that drive business and marketing decisions.



The Senior Cloud Data Architect works directly with clients to understand their challenges and designs practical cloud-based solutions in Google Cloud and similar private cloud environments. Combining hands‑on data engineering, analytics modeling, and client problem solving, this role ensures data is usable, insights are trusted, and marketing and business teams—such as paid media, CRM/lifecycle, and growth teams—can make informed decisions with confidence around campaign performance, customer acquisition, and retention.

The successful candidate will act as a trusted technical advisor, helping clients navigate complex data challenges while delivering practical, production-ready solutions.

Primary Responsibilities:

Lead technical discovery sessions with clients to understand business challenges, define solution approaches, and recommend cloud data architectures that meet functional and strategic objectives.

Integrate data from marketing platforms (e.g., paid media, analytics, CRM) and apply domain knowledge to frame business problems and deliver insights aligned with marketing performance objectives.

Collaborate directly with clients to understand business objectives, technical requirements, and success criteria.

Serve as a trusted technical advisor and partner to clients, guiding them through solution design decisions, implementation approaches, trade‑offs and best practices and supporting long‑term success.

Navigate ambiguous and evolving requirements by structuring problems,



validating assumptions, and aligning technical solutions to real business needs without relying on incomplete or incorrect inputs.

Act as the conduit between client business, marketing and their technical teams to ensure alignment from technical problem definition through delivery.

Develop data integration for customer private cloud environments, leveraging available tools in that platform, APIs, and scripting.

Build, or consult on, infrastructure required for optimal extraction, transformation, and loading of data across diverse data sources.

Assess existing customer pipelines and offer improvements for efficiency, security, scalability and data quality.

Mentor and support team members through technical guidance and knowledge sharing to help elevate team capabilities and promote best practices.

Develop reusable data models, pipelines, and dashboard templates that improve delivery consistency and accelerate future client engagements.

Understand cloud infrastructure and operational requirements sufficiently to anticipate how architectural decisions impact reliability, performance, and business outcomes.

Required Skills & Experience:

Proficiency building ETL/ELT pipelines in private cloud environments (Google Cloud, AWS, Azure).

Experience designing and implementing data solutions for marketing, advertising, or customer analytics use cases, including integration with Google Marketing Platform products and related marketing vendor APIs.

Strong Computer Science (CS) fundamentals, problem-solving skills and software engineering skills.

A strong ability to understand and organize data from various sources.

Solid exper

📌 Senior Cloud Data Architect (Toronto)
🏢 Kepler Group
📍 Toronto