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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 can make informed decisions with confidence.

Responsibilities

Lead technical discovery sessions with clients to understand business challenges, define solution approaches, and recommend cloud data architectures.
Integrate data from marketing platforms 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.
Navigate ambiguous and evolving requirements by structuring problems, validating assumptions, and aligning technical solutions to real business needs.
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.
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.

Requirements

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.
Strong expertise in a programming language (preferably Python).
Proficiency writing queries with SQL.
Experience with Google Cloud, especially BigQuery.
Experience building solutions via API integration.
Knowledge of OAuth protocols for API authentication.
Experience with quality assurance (QA) and devops processes.
Strong understanding of security and privacy implications in data pipelines.
Ability to identify and resolve performance and data quality in data pipelines.
Strong critical thinking and problem-solving skills with attention to detail.
Experience mentoring technical colleagues or leading technical discussions.
Ability to influence technical decision-making, facilitate solution discussions, and build consensus with client and internal stakeholders.
Excellent written, verbal, and presentation skills, with the ability to communicate complex technical concepts to both technical and non-technical audiences.
Ability to prioritize projects and handle multiple tasks efficiently.
A degree in Computer Science, Statistics, Information Systems, or other quantitative fields, or comparable industry experience.
Experience with a range of data warehousing and integration platforms and software, such as Snowflake, Databricks and dbt.
Experience with a wide variety of APIs for marketing platforms & products.
Experience with AI deployment in cloud environments, especially Gemini.
Experience with Kotlin/JVM or JavaScript in addition to Python is an asset.
Google Cloud Professional certifications, particularly the Data Engineer, Cloud Database Engineer or ML Engineer certifications, are an asset.

Skills

Google Cloud
BigQuery
Python
SQL
ETL/ELT
API integration
OAuth
QA
DevOps
Data warehousing
Data integration
Snowflake
Databricks
dbt
AI deployment
Gemini
Kotlin/JVM
JavaScript

Location

Remote - based in Canada

Work Type

Remote

Experience Level

Senior

Education Level

Degree in Computer Science, Statistics, Information Systems, or other quantitative fields, or comparable industry experience.

About the Company

We believe in a world where data stimulates growth, creativity and inspiration.
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.
Kepler prides itself on being a great place to work. AdAge recognized Kepler as the #7 Best Place to Work.
We're transparent with our employees.
We're growing, offering unparalleled growth opportunities and a role in shaping the direction of the company.
We're fun, authentic, empathetic, and ever-in-motion.
We're human, offering Employee Resource Groups, DEI initiatives, and altruism efforts.

Equal Opportunity

Napkyn welcomes and encourages applications from people with disabilities. Accommodations are available upon request for applicants in all aspects of the selection process.
We are committed to diversity of background, thought and experience, and we work to create an environment in which all our employees thrive by bringing their authentic self to work.
Kepler is a people first organization. If this role piques your interest but you may not check every box, we still encourage you to apply!
Studies show that imposter syndrome can prevent women and people of color from applying unless they meet every single qualification. We welcome all who are interested to apply, you just might be a great candidate for this role or others.