Solution Architect, Data Solutions

66degrees is a leading consulting and professional services company specializing in developing AI-focused, data-led solutions leveraging the latest advancements in cloud technology. With our unmatched engineering capabilities and vast industry experience, we help the world's leading brands transform their business challenges into opportunities and shape the future of work.

At 66degrees, we believe in embracing the challenge and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way.

As a Solution Architect, Data Solutions, you'll be a key technical team member, responsible for designing and architecting robust, data-driven solutions that empower our clients to unlock the value of their information. You'll collaborate closely with our Sales, Engineering, and Delivery teams, ensuring successful implementations that leverage the power of Google Cloud Platform (GCP). Through your collaborative interactions with our teams and clients, you’ll have an active role in shaping our customer’s experience from start to finish.

• Design and Architect Solutions: Lead the strategizing, design, and architecture of scalable data pipelines and infrastructure on GCP, ensuring alignment with client requirements and best practices.
• Technical Guidance: Provide expert technical guidance to data engineering teams, supporting them in delivering cutting-edge data solutions.
• Client Collaboration: Partner with Sales and Engineering to translate complex client requirements into tailored data engineering solutions utilizing GCP's data capabilities (e.g., BigQuery, Cloud Dataflow) or Snowflake.
• Engage in on-site client meetings and workshops as needed to facilitate collaboration and understanding.
• Proposal Development: Contribute to the development of compelling proposals, levels of effort, and Statements of Work (SOWs) that clearly define project scope, data pipelines, and implementation plans.
• Stakeholder Management: Build strong relationships with key stakeholders, acting as a trusted technical advisor throughout the customer journey.
• Technical Leadership: Stay up-to-date on the latest advancements in data engineering technologies and translate that knowledge into practical solutions for clients.
• Best Practices: Actively promote the adoption of best practices and a culture of continuous learning within the team.
• Continuous Improvement: Foster a culture of learning and development, encouraging team members to pursue certifications, training, and professional growth opportunities.

• Experience: 5+ years of experience in a technical architect or senior engineering role, preferably with a data engineering focus in a consulting or professional services environment.
• Data Engineering Expertise: Proven experience in designing, building, and managing complex data pipelines on cloud platforms (GCP preferred).
• Data Concepts: Strong understanding and ability to advise clients on data engineering concepts such as data governance and controls, MDM, data quality, security, and lineage management.
• Architecture Design: Ability to architect data estates for clients, advise them on the choice of data architectures, and link them to overall enterprise architecture.
• AI/ML Integration: Ability to collaborate with Data Science teams to provide the right data scaffolding for the creation and consumption of AI/ML models. High-level understanding of emerging AI/ML and data science concepts.
• Technical Proficiency: Strong understanding of data management principles, including data warehousing, data lakes, and ETL/ELT processes. Familiarity with scripting languages (Python, SQL) and data processing tools. Preferred experience with DBT and Oracle. 
• Performance Optimization: Understanding and ability to advise clients on detailed architecture design principles, e.g., approaches to improving query performance in Google BigQuery or Snowflake.
• Communication & Presentation: Ability to articulate complex technical concepts to both technical and non-technical audiences with clarity and enthusiasm.
• Client Engagement: Experience working directly with clients in a pre-sales or consulting role, understanding their business needs and translating them into data-driven solutions.
• Project Deliverables: Ability to specify the deliverables of services projects by developing detailed project scopes of work (SOWs); assist sales team with preparedness and delivery of technical presentations, estimations, and Statements of Work.
• Deployment Experience: Experience strategizing, designing, architecting, and leading the deployment of scalable solutions on GCP is preferred.
• Consulting Acumen: Proven experience serving as a technical and business consultant to clients before, during, and after implementations.
• Certifications: Industry-level or Google Cloud certifications (e.g., Professional Cloud Architect, Professional Data Engineer) preferred.
• Travel Requirements: Ability to travel approximately 25% of the time for client engagements, team meetings, and industry events. 
• Education: A Bachelor's degree in Computer Science, Computer Engineering, Data, or a related field or equivalent work experience.

66degrees is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, religion, sex, gender, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status or other legally protected class.