• Build data models using SQL and DBT/LookML-style logic • Answer core business questions such as CAC, LTV, attribution, and revenue drivers • Debug and fix broken or incomplete datasets • Translate business questions into structured data models • Iterate quickly and improve outputs over time • Ship usable results fast, not perfect results slowly

• Build data models using SQL and DBT/LookML-style logic • Answer core business questions such as CAC, LTV, attribution, and revenue drivers • Debug and fix broken or incomplete datasets • Translate business questions into structured data models • Iterate quickly and improve outputs over time • Ship usable results fast, not perfect results slowly

• Build data models using SQL and DBT/LookML-style logic • Answer core business questions such as CAC, LTV, attribution, and revenue drivers • Debug and fix broken or incomplete datasets • Translate business questions into structured data models • Iterate quickly and improve outputs over time • Ship usable results fast, not perfect results slowly

About the role Join us as a Customer Engineer, Data & Analytics Premier Cloud - Austin, TX Premier Cloud at a Glance - Premier Cloud, a Google Cloud Premier Partner, specializes in helping SMB and Enterprise clients across North America modernize, collaborate, and innovate using Google Cloud and SaaS solutions. They offer consulting, managed services, and cloud solutions to major organizations. - One of the fastest-growing companies in Canada, headquartered in Victoria, BC, with an office in Austin, TX. - Certified a Great Place to Work for 6 years in a row - Premier Cloud’s professional services include: - - Licensing and migration services for businesses wanting to implement Google Workspace - Data, AI, and Infrastructure solutions powered by Google Cloud - Consulting, training, and various professional services surrounding Google Cloud’s products. As a Google Cloud Customer Engineer, Data & Analytics at Premier Cloud, you'll be the technical expert in client-facing roles, focusing on scoping, designing, and delivering data solutions on Google Cloud Platform (GCP). You'll work with technical teams to showcase Google Cloud's benefits and help clients leverage GCP for their data needs. Your goal is to turn complex challenges into scalable, high-performance data architectures that enable insights, decision-making, and innovation. You'll explain technical features, assist with architectural design, and resolve issues for prospective customers. Collaborating with clients, cloud architects, and sales teams, you'll deliver solutions aligned with business goals. Google Cloud enables organizations to digitally transform using advanced technology and tools for sustainable growth. Responsibilities Solution Delivery & Client Partnership - Lead complex technical discovery and needs analysis with clients and sales teams to deeply understand and solve their unique data challenges and goals. - Design and implement scalable, high-performance data solutions on GCP, directly influencing client success and transformation. - Develop, build, and deploy critical data pipelines, data warehouses, and data lakes using core GCP services (BigQuery, Dataflow, Dataproc, etc.). - Leverage your expertise to optimize data architectures for cost-efficiency and maximum performance. Data Engineering & Implementation - Build and maintain ETL/ELT pipelines to ingest, transform, and load data from various sources. - Ensure data quality, integrity, and security throughout the data lifecycle. - Work with cloud architects and developers to integrate data solutions into end-to-end client applications. Client Success & Consulting - Conduct client readiness assessments to leverage Google Cloud for data analysis. - Provide expert technical guidance and consulting support to clients throughout project lifecycles. - Contribute to the development of internal best practices, knowledge sharing, and reusable solution templates for presales use. Qualifications - Minimum Qualifications - - Proven experience in designing, building, and deploying data solutions on GCP. - Strong expertise in SQL, data warehouse design, and data pipeline development. - Understanding of cloud architecture principles and best practices. - Excellent written and verbal communication skills, including the ability to explain technical concepts to non-technical stakeholders - Preferred Qualifications - - 3+ years of experience in a data engineering role. - Experience with Looker or other data visualization tools. - Knowledge of AI/ML technologies and their application in data solutions. - Professional Data Engineer or other relevant GCP certifications. Why Premier Cloud? Your Impact and Growth Join a Great Place to Work (certified for 6 consecutive years) where your expertise is valued and actively developed. - Direct Impact: You will be pivotal in turning complex client challenges into scalable, high-performance data architectures that drive business insights and innovation. - Elite Collaboration: Work directly with Google teams on strategic analytics initiatives, positioning yourself at the forefront of cloud innovation. - Career Investment: We invest heavily in your growth, offering ongoing training, certifications, and opportunities to lead cutting-edge Google Cloud projects. - Culture of Trust: Thrive in a culture of trust and autonomy, supported by flexible remote work options and premium equipment. Benefits - Competitive Compensation: A package that reflects your experience and impact. - Growth & Development: Ongoing training, certifications, and opportunities to work on cutting-edge Google Cloud projects. - Collaboration with Google: Work directly with Google teams on strategic analytics initiatives. - Comprehensive Benefits: Health coverage, paid time off, and relocation assistance (if applicable). - Work Environment: Flexible remote work with premium equipment and a culture of trust and autonomy.