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Senior Cloud Data Architect

Pay
Pay not listed
Work setting
Remote — work setting source
Google Cloud Professional certifications, particularly the Data Engineer, Cloud Database Engineer or ML Engineer certifications, are an asset. Location: Remote - based in Canada 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.
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Employment
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What you’ll work on

Full posting

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

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

  • Lead discovery sessions and recommend cloud data architectures for clients

  • Integrate marketing platform data (paid media, analytics, CRM) into insights

  • Develop data integrations for customer private cloud environments using APIs and scripting

  • Assess existing customer pipelines and recommend improvements in efficiency, security and quality

  • Mentor team members and build reusable data models, pipelines and dashboard templates

From the employer’s posting
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.
Lead technical discovery sessions with clients to understand business challenges, define solution approaches, and recommend cloud data architectures
Integrate data from marketing platforms (e.g., paid media, analytics, CRM)
Develop data integration for customer private cloud environments, leveraging available tools in that platform, APIs, and scripting.
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

What you’ll bring

All qualifications

Core experience

  • Proficiency building ETL/ELT pipelines in cloud environments (Google Cloud, AWS, Azure)
  • Experience with Google Cloud, especially BigQuery
  • Strong programming skills, preferably in Python
  • Proficiency writing SQL queries
  • Experience building solutions via API integration, including OAuth
Qualification wording
Proficiency building ETL/ELT pipelines in private cloud environments (Google Cloud, AWS, Azure).
Experience with Google Cloud, especially BigQuery.
Strong expertise in a programming language (preferably Python).
Proficiency writing queries with SQL.
Experience building solutions via API integration.
Apply at Kepler Group

Posting record

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Status in our records
Live
First seen by us
Aug 18, 202678 days ago
Recorded sightings
58
Last seen by us
Nov 4, 2026

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How this job compares

Time since we first saw it

Day 78

Up longer than most. Similar jobs usually come down between day 7 and day 53.

From 7,804 similar postings that came down. Coming down is not always a hire.

Kepler Group is hiring

13 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring is picking up
  • Its jobs tend to stay up a long time
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • JavaScript
  • Kotlin
  • Python
  • SQL
  • AWS
  • Azure
  • BigQuery
  • Databricks
  • dbt
  • Snowflake
  • GCP
Where the posting names them
- 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.
- A strong ability to understand and organize data from various sources. - Strong expertise in a programming language (preferably Python). - Proficiency writing queries with SQL.
- Strong expertise in a programming language (preferably Python). - Proficiency writing queries with SQL. - Experience with Google Cloud, especially BigQuery.
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.
- Proficiency writing queries with SQL. - Experience with Google Cloud, especially BigQuery. - Experience building solutions via API integration.
Preferred Skills & 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.
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.
- 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. Location: Remote - based in Canada

Your next step

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About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

Napkyn Summary: 

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.
  • 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.

Preferred Skills & 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.

Location: Remote - based in Canada

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. 

Protect yourself from recruitment fraud. The only way to apply for a position at Kepler is by submitting a direct application via the Keplergrp.com website or working with a recruiter employed by Kepler with a @keplergrp.com email address. Learn how to stay safe by clicking here

 

 

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Canada

- Google Cloud Professional certifications, particularly the Data Engineer, Cloud Database Engineer or ML Engineer certifications, are an asset. Location: Remote - based in Canada 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.
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