Among computer occupations, all other, AI is already used for a large share of the tasks. Measured exposure for computer occupations, all other: 31% (high).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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About the job

As a Solution Architect at the Associate Director level, you’ll bridge technical depth and client strategy, translating complex requirements into elegant 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.

WHAT YOU'LL DO

Lead solution design and architecture decisions for mid-to-large scale client engagements, with a focus on data platforms, pipelines, and AI-enabled workflows

Produce and present architecture artifacts: system diagrams, integration maps, ADRs, 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 the integration of AI/ML capabilities into data flows

Architect data foundations that connect marketing data ecosystems (GA4, advertising platforms, CRMs, CDPs) to analytics and ML workloads

Partner with client and internal teams, including Machine Learning Engineering, to align architecture to 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 YOU'LL NEED

7+ years of software or data engineering experience with 2+ years focused on architecture or solutions design

Strong breadth across the modern technology stack: 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 operate as a trusted technical advisor to both client and internal stakeholders

Deep expertise in cloud data platforms (e.g., Snowflake, Databricks, BigQuery, Redshift), with clear, 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 both technical and executive audiences

Ability to navigate complex stakeholder environments and drive technical consensus across an organization that is 50/50 tech and creative

NICE TO HAVE

Experience across multiple domain verticals (commerce, content, data, infrastructure)

Formal architecture training or certifications (AWS, Azure, GCP, 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

ABOUT US

Born in 2001, Code and Theory is a digital-first creative agency that sits at the center of creativity and technology. We pride ourselves on not only solving consumer and business problems, but also helping to establish new capabilities for our clients. With a global client roster of Fortune 100s and start-ups alike, we crave the hardest problems to solve. We have teams distributed across North America, South America, Europe, and Asia. The Code and Theory global network of agencies is growing and includes Kettle, Instrument, Left Field Labs, Create Group, Current, and TrueLogic.

Striving never to be pigeonholed, we work across every major category: from tech to CPG, financial services to travel & hospitality, government and education to media and publishing. We value the collaboration with our client partners, including but not limited to Adidas, Amazon, Con Edison, Diageo, EY, J.P. Morgan Chase, Lenovo, Marriott, Mars, Microsoft, Thomson Reuters, and TikTok.

The Code and Theory network is comprised of nearly 2,000 people with 50% engineers and 50% creative talent. We’re always on the lookout for smart, driven, and forward-thinking people to join our team.

The compensation range for this role is $160,000 - $210,000 and spans multiple levels. We're open to hiring at the level that best matches the right candidate's experience. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, budget, and location.