> Markdown version of [/jobs/ext/517007-sr-data-architect-snowflake-and-ai](https://www.wearedevelopers.com/jobs/ext/517007-sr-data-architect-snowflake-and-ai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Data Architect, Snowflake and AI - **Company:** MMD Services - **Location:** Chicago, IL, United States - **Experience:** Expert - **Salary:** $140,000.0 - $200,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, ARM Architecture, Audit Trail, Microsoft Azure, Bash Shell, Cloud Computing, Cloud Computing Security, Cloud Engineering, Cyber Security, Databases, Data as a Services, Data Architecture, Data Governance, Data Infrastructure, Data Normalization, Data Systems, DevOps, Identity and Access Management, Python (Programming Language), PostgreSQL, MongoDB, Windows PowerShell, Redis, Power BI, SQL Databases, Data Streaming, Systems Integration, Tableau (Software), Enterprise Data Management, Scripting, Enterprise Software Applications, Large Language Models, Snowflake, State Machines, Generative AI, Data Strategy, Data Layers, Data Lakes, AI Platforms, Information Technology, Enterprise Integration, Machine Learning Operations, Cloud Migration, Functional Programming, Cloudwatch, Api Gateway, Looker Analytics, Data Pipelines, Serverless Computing, Databricks - **Published:** June 4, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=26cc495ee086365f ## About the Role Do you have experience in Systems integration?, Do you have a Bachelor's degree?, We are seeking a Senior Data Engineer with deep Snowflake expertise and strong AWS experience to join the Data Platform & Infrastructure team. This is a hands-on individual contributor role - you will own and architect data solutions, not just participate in them., * 5+ years of hands-on Snowflake experience - architecture, data modeling, pipeline development, and administration * Strong AWS experience with IAM, S3, Lambda, CloudWatch, and cloud-native integration patterns * Experience designing and building data pipelines and enterprise data architectures at scale * Proficiency in SQL and Python; scripting experience in PowerShell or Bash a plus * Proven ability to work as a hands-on individual contributor with end-to-end ownership of data solutions * Experience integrating Snowflake with AWS services and enterprise platforms * Strong understanding of data governance, access control, and security best practices * Excellent written and verbal communication skills - comfortable presenting, demoing, and collaborating across technical and business teams Preferred * Experience with Snowflake Cortex or AI/ML integrations within Snowflake * Familiarity with Databricks or other modern data platforms * Experience with BI tools such as Tableau, Power BI, ThoughtSpot, or Looker * AWS certifications (Solutions Architect, Developer, or DevOps) * Experience with cloud migrations (on-prem to AWS or Snowflake) * Knowledge of networking, cloud security groups, and regulatory compliance (SOC2, ISO 27001) * Experience with databases including PostgreSQL, MongoDB, or Redis * Familiarity with serverless and cloud-native architectures * Advanced degree in Computer Science or a related field EDUCATION & CERTIFICATIONS * Bachelor's or Master's degree in Computer Science or a related technical field preferred * AWS certifications (Solutions Architect, Developer, DevOps) strongly preferred * AI/ML certifications a plus * Other cloud certifications (Azure, GCP) are a plus ## Description This is a ground-floor, hands-on, highly visible team positioned for significant growth. The team is collaborative, passionate about data, and works closely with engineering, cybersecurity, and business stakeholders across the organization., You will design and build the enterprise data architecture, establish standards for data flows and governance, and integrate Snowflake with AWS services and enterprise platforms. You will also support the data layer that powers the organization's growing AI and generative AI initiatives, working closely with the AI Platforms team., * Lead the design and implementation of enterprise-scale Snowflake data architecture, including data models, schemas, and consumption patterns * Build, optimize, and maintain robust data pipelines across Snowflake and AWS (S3, Lambda, Glue, and related services) * Define and enforce standards for data flows, data aggregation, migration, curation, and data placement across the platform * Validate data architecture for adherence to defined policies, standards, and regulatory requirements * Design scalable data lake and data warehouse solutions that support analytics, reporting, and AI/ML workloads Governance & Security * Ensure proper data governance, masking, and role-based access controls across the platform * Partner with Cybersecurity and Compliance teams on data protection controls (PII masking, redaction, tokenization) * Implement audit logging, monitoring, and observability for data platform infrastructure * Manage secrets, API keys, and secure connectivity across integrated systems AWS & Cloud Infrastructure * Utilize and integrate AWS services including IAM, S3, Lambda, CloudWatch, API Gateway, and Step Functions * Support secure integration of data services within cloud environments * Develop automation for data provisioning, pipeline management, and policy enforcement using Python, PowerShell, or Bash * Support CI/CD pipelines and DevOps processes for data applications AI & Platform Integration * Provide clean, governed, and accessible data to support AI/ML workflows and generative AI platforms * Leverage Snowflake Cortex for embedded AI/LLM capabilities where applicable * Integrate data solutions with enterprise systems and business intelligence platforms * Partner with internal stakeholders to define data principles and support data strategy initiatives ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [40 Minutes to Build a Serverless COVID-19 REST and GraphQL APIs](https://www.wearedevelopers.com/videos/208-40-minutes-to-build-a-serverless-covid-19-rest-and-graphql-apis) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Accelerating Authentication Architecture: Taking Passwordless to the Next Level](https://www.wearedevelopers.com/videos/733-accelerating-authentication-architecture-taking-passwordless-to-the-next-level) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 162: AI careers, MCP, AWS best practices & floppy sweaters](https://www.wearedevelopers.com/magazine/571-dev-digest-162-ai-careers-mcp-aws-best-practices-floppy-sweaters) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers)