Senior Cloud Data Architect

🔥 18 minutes ago

🇨🇦 Canada – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

Where this job comes from

Posted on Kepler's careers page, not through a job board

First seen by Remote Rocketship 18 minutes ago

Logo of Kepler

Kepler

501 - 1000 employees

Founded 2012

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Kepler is a CRM and prospecting tool designed specifically for B2B founders. It enables users to send emails, manage deals, and find leads, all while keeping their sales activities organized in one platform. Kepler streamlines the sales process, making it easier for businesses to engage with potential customers and grow their networks.

📋 Description

• Lead client technical discovery sessions to understand business challenges, define solution approaches, and recommend cloud data architectures • Integrate data from paid media, analytics, CRM, and other marketing platforms to deliver insights aligned with marketing performance objectives • Collaborate with clients to understand business objectives, technical requirements, and success criteria • Serve as a trusted technical advisor, guiding clients through solution design, implementation approaches, trade-offs, best practices, and long-term success • Structure ambiguous problems, validate assumptions, and align technical solutions with business needs • Act as a conduit between client business, marketing, and technical teams from problem definition through delivery • Develop data integrations for customer private cloud environments using platform tools, APIs, and scripting • Build or advise on infrastructure for extracting, transforming, and loading data from diverse sources • Assess customer pipelines and recommend improvements to efficiency, security, scalability, and data quality • Mentor team members through technical guidance and knowledge sharing • Develop reusable data models, pipelines, and dashboard templates • Evaluate how cloud infrastructure and operational decisions affect reliability, performance, and business outcomes

🎯 Requirements

• Proficiency building ETL/ELT pipelines in private cloud environments, including Google Cloud, AWS, and Azure • Experience designing and implementing data solutions for marketing, advertising, or customer analytics use cases • Experience integrating Google Marketing Platform products and related marketing vendor APIs • Strong Computer Science fundamentals, problem-solving skills, and software engineering skills • Ability to understand and organize data from various sources • Strong expertise in a programming language, preferably Python • Proficiency writing SQL queries • Experience with Google Cloud, especially BigQuery • Experience building solutions via API integration • Knowledge of OAuth protocols for API authentication • Experience with QA and DevOps processes • Strong understanding of security and privacy implications in data pipelines • Ability to identify and resolve performance and data quality issues in data pipelines • Strong critical thinking and 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, including communicating complex technical concepts to technical and non-technical audiences • Ability to prioritize projects and handle multiple tasks efficiently • A degree in Computer Science, Statistics, Information Systems, or another quantitative field, or comparable industry experience • Preferred: experience with Snowflake, Databricks, dbt, varied marketing-platform APIs, AI deployment in cloud environments especially Gemini, Kotlin/JVM or JavaScript, and Google Cloud Professional certifications

🏖️ Benefits

• Opportunity to join Employee Resource Groups, DEI initiatives, and altruism efforts • Growth opportunities and a role in shaping the direction of the company • Transparent updates on company financials, bonus goals, and company challenges • Collaboration with and learning from industry experts • Disability accommodations available upon request throughout the selection process • Commitment to diversity, background, thought, and experience • People-first work environment supporting employees' authentic selves

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