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About the Role

As an Associate Director Solution Architect, you will connect technical expertise with client strategy, transforming complex needs into effective architectural solutions and guiding engineering teams through implementation. You will establish the technical direction for large-scale data platforms, designing systems, standards, and integration methods that enable data-driven insights and predictive/generative models for enterprise clients.

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, 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, integrating AI/ML capabilities into data flows.
Architect data foundations connecting 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 with enterprise security, privacy, compliance, and governance requirements.
Establish engineering standards, documentation, and best practices, mentoring engineers on architectural decision-making.
Represent technical strategy in client executive briefings and RFP/SOW processes.

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: 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.

Skills

Cloud Data Platforms
Snowflake
Databricks
BigQuery
Redshift
Python
SQL
Data Processing
ETL
Distributed Systems Design
API Ecosystems
AI/ML Integration
GenAI
AI-powered coding
Agentic engineering
AI-enabled workflows
Data Governance
Privacy Compliance
Security Best Practices
Architecture Artifacts Production
Technical Scoping
RFP Responses
Solution Presentations
Enterprise Architecture Discovery
Gap Analysis
Roadmapping
Platform Architecture Patterns
Data Pipelines
Composable Stacks
API-first Ecosystems
Marketing Data Ecosystems
Customer Data Platforms (CDPs)
Analytics
ML Workloads
Security
Privacy
Compliance
Governance
Engineering Standards
Documentation
Best Practices
Architectural Decision-Making
Technical Strategy Representation
Executive Briefings

Experience Level

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

Education Level

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

Salary/Compensations

$160,000 - $210,000

About the Company

Code and Theory is a digital-first creative agency founded in 2001, operating at the intersection of creativity and technology.
The agency solves consumer and business problems while establishing new capabilities for clients.
They serve a global client roster of Fortune 100 companies and startups, tackling complex challenges.
Teams are distributed across North America, South America, Europe, and Asia.
The Code and Theory global network includes Kettle, Instrument, Left Field Labs, Create Group, Current, and TrueLogic.
They work across diverse categories including tech, CPG, financial services, travel & hospitality, government, education, media, and publishing.
Key client partners include Adidas, Amazon, Con Edison, Diageo, EY, J.P. Morgan Chase, Lenovo, Marriott, Mars, Microsoft, Thomson Reuters, and TikTok.
The network comprises nearly 2,000 individuals, with a 50/50 split between engineers and creative talent.
They seek smart, driven, and forward-thinking individuals.