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…