Senior Cloud Data Architect

This is a fully remote position, open to applicants in Canada.

📋 Description

• Facilitate technical discovery sessions with clients to identify business challenges, outline solution approaches, and propose cloud data architectures.

• Aggregate data from paid media, analytics, CRM, and other marketing platforms to provide insights that align with marketing performance goals.

• Partner with clients to comprehend business objectives, technical requirements, and criteria for success.

• Act as a reliable technical advisor, assisting clients throughout the solution design, implementation strategies, trade-offs, best practices, and long-term success.

• Organize ambiguous issues, validate assumptions, and ensure that technical solutions meet business needs.

• Serve as a liaison between client business, marketing, and technical teams from problem identification to delivery.

• Create data integrations for customer private cloud environments using platform tools, APIs, and scripting languages.

• Design or provide advice on infrastructure for data extraction, transformation, and loading from various sources.

• Evaluate customer pipelines and suggest enhancements to improve efficiency, security, scalability, and data quality.

• Guide team members through technical mentorship and knowledge sharing.

• Construct reusable data models, pipelines, and dashboard templates.

• Analyze the impact of cloud infrastructure and operational decisions on reliability, performance, and business results.

⛳️ Requirements

• Expertise in constructing ETL/ELT pipelines within private cloud settings, including Google Cloud, AWS, and Azure.

• Background in designing and implementing data solutions for marketing, advertising, or customer analytics applications.

• Experience in integrating Google Marketing Platform products and associated marketing vendor APIs.

• Solid foundation in Computer Science, problem-solving abilities, and software engineering skills.

• Capability to comprehend and organize data from diverse sources.

• Strong proficiency in at least one programming language, preferably Python.

• Skilled in writing SQL queries.

• Experience with Google Cloud, particularly BigQuery.

• Proficient in developing solutions through API integration.

• Familiarity with OAuth protocols for API authentication.

• Background in QA and DevOps practices.

• Strong awareness of security and privacy concerns in data pipelines.

• Ability to identify and rectify performance and data quality issues in data pipelines.

• Excellent critical thinking skills and attention to detail.

• Experience in mentoring technical colleagues or leading technical discussions.

• Capacity to influence technical decision-making, facilitate solution discussions, and reach consensus with clients and internal stakeholders.

• Strong written, verbal, and presentation skills, including the ability to convey complex technical concepts to both technical and non-technical audiences.

• Proficient in prioritizing projects and managing multiple tasks effectively.

• A degree in Computer Science, Statistics, Information Systems, or a related quantitative field, or equivalent industry experience.

• Preferred qualifications include experience with Snowflake, Databricks, dbt, various marketing-platform APIs, AI deployment in cloud environments (especially Gemini), Kotlin/JVM or JavaScript, and Google Cloud Professional certifications.

🏝️ Benefits

• Opportunity to participate in Employee Resource Groups, DEI initiatives, and charitable efforts.

• Opportunities for growth and a chance to influence the company's direction.

• Transparent communication regarding company financials, bonus objectives, and challenges.

• Collaboration with and learning from industry leaders.

• Disability accommodations are available upon request during the selection process.

• Commitment to diversity in background, thought, and experience.

• People-first workplace that encourages employees to be their authentic selves.