{"id":409351,"url":"https://alion.io/job/keplergrp-senior-cloud-data-architect","title":"Senior Cloud Data Architect","company":{"id":183344,"name":"Keplergrp","domain":"keplergrp.com","url":"https://alion.io/company/keplergrp","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":83,"open_postings":4,"ghost_share":0,"stale_share":0.5,"repost_share":0,"time_to_fill_p50_days":89,"computed_at":"2026-10-24T06:02:35Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Toronto, Canada","Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":73000,"max_usd":149000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":8},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Databricks","optional":true},{"name":"dbt","optional":true},{"name":"Gemini","optional":true},{"name":"JavaScript","optional":true},{"name":"Kotlin","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-08-13T18:47:50Z","employer_posted_date":"2026-08-17","last_verified_at":"2026-10-24T22:18:26Z","board_verified":true,"closed_at":null,"days_open":72,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":72},"description":"Napkyn Summary: \nWe 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.\nWe believe that data, harnessed properly, can spark powerful consumer insights, business transformation and marketing innovation.\nWe are a full stack Google partner with a 14 year track record of delivering solutions to leading brands across multiple industries. \nAs a Kepler Group company, Napkyn draws from Kepler's strategic, technology- and data-driven marketing expertise to provide world-class Google marketing support.\nThe Napkyn team is guided by Kepler’s values:\nKepler 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.\nWe'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. \nWe're growing. For you, that means unparalleled growth opportunities and a role in shaping the direction of the company. \nWe'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. \nWe're human. You'll have an option to join Employee Resource Groups, DEI initiatives, and altruism efforts to bring positive societal impact.\nAbout the role:\nThis 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.\nThe successful candidate will act as a trusted technical advisor, helping clients navigate complex data challenges while delivering practical, production-ready solutions.\nPrimary Responsibilities: \nLead technical discovery sessions with clients to understand business challenges, define solution approaches, and recommend cloud data architectures that meet functional and strategic objectives.\nIntegrate 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.\nCollaborate directly with clients to understand business objectives, technical requirements, and success criteria.\nServe 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.\nNavigate ambiguous and evolving requirements by structuring problems, validating assumptions, and aligning technical solutions to real business needs without relying on incomplete or incorrect inputs.\nAct as the conduit between client business, marketing and their technical teams to ensure alignment from technical problem definition through delivery.\nDevelop data integration for customer private cloud environments, leveraging available tools in that platform, APIs, and scripting.\nBuild, or consult on, infrastructure required for optimal extraction, transformation, and loading of data across diverse data sources.\nAssess existing customer pipelines and offer improvements for efficiency, security, scalability and data quality.\nMentor and support team members through technical guidance and knowledge sharing to help elevate team capabilities and promote best practices.\nDevelop reusable data models, pipelines, and dashboard templates that improve delivery consistency and accelerate future client engagements.\nUnderstand cloud infrastructure and operational requirements sufficiently to anticipate how architectural decisions impact reliability, performance, and business outcomes.\nRequired Skills & Experience: \nProficiency building ETL/ELT pipelines in private cloud environments (Google Cloud, AWS, Azure).\nExperience 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.\nStrong Computer Science (CS) fundamentals, problem-solving skills and software engineering skills.\nA strong ability to understand and organize data from various sources.\nStrong expertise in a programming language (preferably Python).\nProficiency writing queries with SQL.\nExperience with Google Cloud, especially BigQuery.\nExperience building solutions via API integration.\nKnowledge of OAuth protocols for API authentication.\nExperience with quality assurance (QA) and devops processes.\nStrong understanding of security and privacy implications in data pipelines.\nAbility to identify and resolve performance and data quality in data pipelines.\nStrong critical thinking and problem-solving skills with attention to detail.\nExperience mentoring technical colleagues or leading technical discussions.\nAbility to influence technical decision-making, facilitate solution discussions, and build consensus with client and internal stakeholders.\nExcellent written, verbal, and presentation skills, with the ability to communicate complex technical concepts to both technical and non-technical audiences.\nAbility to prioritize projects and handle multiple tasks efficiently.\nA degree in Computer Science, Statistics, Information Systems, or other quantitative fields, or comparable industry experience.\nPreferred Skills & Experience: \nExperience with a range of data warehousing and integration platforms and software, such as Snowflake, Databricks and dbt.\nExperience with a wide variety of APIs for marketing platforms & products.\nExperience with AI deployment in cloud environments, especially Gemini.\nExperience with Kotlin/JVM or JavaScript in addition to Python is an asset.\nGoogle Cloud Professional certifications, particularly the Data Engineer, Cloud Database Engineer or ML Engineer certifications, are an asset.\nLocation: Remote - based in Canada\nNapkyn 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.\nKepler 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. \nProtect 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. 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