# Solution Architect, Data Engineering (US) at Code and Theory > Remote · United States · Staff · Data engineering · open. Source: https://alderhq.app/jobs/greenhouse%3Acodeandtheory%3A8924732002 (read 2026-11-09). ## Facts (observed) - Company: [Code and Theory](https://alderhq.app/companies/code-and-theory) - Location text: New York, New York, United States; New York City; Remote - Where it can be done from (inferred): Remote · United States (evidence: "Location: New York, New York, United States; New York City; Remote") - Posted: 2026-11-03 (6 days ago) - First seen by alder: 2026-11-07 · last verified: 2026-11-07 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://www.codeandtheory.com/careers/8924732002?gh_jid=8924732002 - Skills listed (inferred): Python, AWS, GCP, Azure, Snowflake, SQL, LLMs, Distributed systems ## Pay and sponsorship - Posted pay: not posted - Market band for similar posted roles (New York, n 16): p25 $204k, median $218k, p75 $251k ## Description (the employer's text) 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. --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Acodeandtheory%3A8924732002 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.