7+ years of software or data engineering experience, with 2+ years in architecture or solutions design
Strong knowledge of cloud, APIs, data, and platform ecosystems
Experience with data governance, privacy compliance, and security best practices
Proficiency in integrating AI/ML capabilities into data pipelines
Deep expertise in cloud data platforms like Snowflake and Databricks
Ability to communicate complex system designs clearly
Experience working directly with client technical teams
Responsibilities
Lead solution design for mid-to-large scale client engagements focusing on data platforms
Produce and present architecture artifacts such as system diagrams and integration maps
Guide engineering teams through architecture implementation during critical phases
Facilitate technical discovery workshops with client stakeholders
Evaluate and recommend cloud data platforms and third-party integrations
Identify and mitigate architectural risks across projects
Contribute to pre-sales technical scoping and solution presentations
Benefits
Opportunity to work on large-scale data platforms and AI-enabled workflows
Hands-on involvement in critical phases of architecture implementation
Collaboration with diverse teams including Machine Learning Engineering
Mentorship opportunities for engineers on architectural decision-making
Engagement in enterprise architecture discovery and future-state roadmapping
Full Job Description
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
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.
