Solution Architect, Data Engineering (US)

Code and Theory • New York, NY

2d • $160,000 - $210,000

About The Position

As a Solution Architect at the Associate Director level, you’ll bridge technical depth and client strategy, translating complex requirements into architecture decisions and guiding engineering teams through implementation. You’ll define the technical vision for large-scale data platforms, designing the systems, standards, and integration patterns that power data-driven insights and predictive and generative models for enterprise clients.

Code and Theory is a digital-first creative agency founded in 2001, working across creativity and technology. Its global network includes nearly 2,000 people, with teams distributed across North America, South America, Europe, and Asia. The network includes Kettle, Instrument, Left Field Labs, Create Group, Current, and TrueLogic, and serves clients across a range of industries.

Requirements

• 7+ years of software or data engineering experience, with 2+ years focused on architecture or solutions design.
• Strong breadth across the modern technology stack, including cloud, APIs, data, and platform ecosystems.
• Experience with data governance, privacy compliance, and security best practices.
• Experience integrating AI/ML capabilities into data pipelines, with exposure to GenAI applications.
• Demonstrated ability to design scalable, maintainable systems and communicate them clearly.
• Experience working directly with client technical teams and translating business requirements into system design.
• Ability to act as a trusted technical advisor to client and internal stakeholders.
• Deep expertise in cloud data platforms such as Snowflake, Databricks, BigQuery, or Redshift, with well-reasoned opinions on trade-offs.
• Proficiency in Python and SQL for data processing and ETL.
• Experience designing distributed systems and API ecosystems at enterprise scale.
• Hands-on experience with AI-powered coding, agentic engineering, and AI-enabled workflows.
• Experience producing and presenting architecture artifacts to technical and executive audiences.
• Ability to navigate complex stakeholder environments and drive technical consensus in an organization with an even mix of technology and creative talent.

Nice To Haves

• Experience across multiple domain verticals, such as commerce, content, data, and infrastructure.
• Formal architecture training or certifications, such as AWS, Azure, GCP, or TOGAF.
• Background in pre-sales technical consulting or solutions engineering.
• Familiarity with marketing data ecosystems and customer data platforms.
• Background in digital transformation or platform migration programs.

Responsibilities

• Lead solution design and architecture decisions for mid-to-large-scale client engagements, focusing on data platforms, pipelines, and AI-enabled workflows.
• Produce and present architecture artifacts, including system diagrams, integration maps, architecture decision records, and technical standards.
• Guide engineering teams through architecture implementation, with hands-on involvement during critical phases.
• Facilitate technical discovery workshops and requirements sessions with client engineering, data, and IT stakeholders.
• Evaluate and recommend cloud data platforms, frameworks, and third-party integrations based on client requirements and constraints.
• Identify and mitigate architectural risk across the project portfolio.
• Contribute to pre-sales technical scoping, RFP responses, and solution presentations.
• Lead enterprise architecture discovery, including current-state assessment, gap analysis, and future-state roadmapping.
• Define platform architecture patterns for data pipelines, composable stacks, and API-first ecosystems, including integration of AI/ML capabilities into data flows.
• Architect data foundations connecting marketing data ecosystems—including GA4, advertising platforms, CRMs, and CDPs—to analytics and ML workloads.
• Partner with client and internal teams, including Machine Learning Engineering, to align architecture with enterprise security, privacy, compliance, and governance requirements.
• Establish engineering standards, documentation, and best practices, and mentor engineers on architectural decision-making.
• Represent technical strategy in client executive briefings and RFP/SOW processes.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed