• Design, implement, and maintain enterprise‑level cybersecurity controls to protect IT systems, networks, and data. • Lead the architecture, implementation, and continuous improvement of Zero Trust Architecture (ZTA) across the organization. • Establish and enforce continuous verification mechanisms for user and device access requests. • Develop and implement processes for enforcing least‑privilege access for all identities and endpoints. • Conduct risk assessments, vulnerability assessments, and penetration testing to improve security posture. • Utilize security tools such as firewalls, IDS/IPS, antivirus platforms, encryption systems, and identity‑driven controls. • Identify security gaps, design mitigation strategies, and support secure system architecture development. • Provide expert‑level guidance on ZTA principles, methodologies, frameworks, and best practices. • Collaborate closely with IT, security, leadership, and cross‑functional teams to support secure system operations. • Prepare technical documentation, architecture diagrams, and security plans to support compliance and governance efforts.

• Lead and drive client working sessions focused on data architecture and data mapping, bringing clarity and direction to complex discussions with senior stakeholders. • Design and own end-to-end Databricks Lakehouse architecture for marketing data ingestion, transformation, storage, and consumption—leveraging Unity Catalog, Delta Lake, Delta Live Tables, and Databricks SQL Warehouse. • Design integrations between Databricks and martech platforms (Braze, CDPs, ect) to enable customer 360 views, churn prediction, media mix modeling, dynamic pricing, and lifetime value analysis. • Design and implement robust data models—including medallion architecture, Star Schema, and Data Vault—optimized for marketing analytics workloads. • Enable marketers to query data conversationally and generate actionable insights without SQL through Databricks Genie and AI-powered analytics. • Support the design and implementation of AI agents using Agent Bricks and the Mosaic AI Agent Framework. • Review and interpret technical capability maps and frameworks, connecting them to data architecture and design decisions. • Architect data governance, security, and access control policies using Unity Catalog, including lineage tracking, audit logging, PII masking, and marketing data privacy compliance. • Integrate Databricks workflows into CI/CD pipelines using Terraform, Git, and Azure DevOps; implement infrastructure-as-code and automated deployment for notebooks, jobs, and clusters. • Partner with clients on roadmaps, POCs, and migrations; support pre-sales efforts with technical proposals, whiteboarding sessions, and project estimation. • Manage your time to meet billable targets of 36+ hours per week. • Travel up to 20% for client meetings, workshops, and onsite engagements.

Role Description As a Databricks Architect, you'll play a pivotal role in delivering custom, enterprise-grade solutions that sit at the intersection of Databricks and Braze. You'll own end-to-end Lakehouse architecture and work directly with enterprise clients to design and build what makes Braze really sing: - Sharper data foundations - Smarter segmentation - AI-driven customer 360 solutions To thrive in this role, you'll need to be as comfortable writing PySpark as you are presenting recommendations to a marketing or data engineering team. You bring a strong point of view, a curiosity-first approach to client problems, and the drive to build something at Stitch that didn't exist before you got here. Qualifications - 5+ years of experience in data engineering or data architecture - 3+ years of hands-on Databricks experience, including PySpark, SQL, and Scala - Proven experience integrating Databricks with Braze or similar martech platforms for marketing analytics (Salesforce Marketing Cloud, Responsys, Adobe) - Deep expertise in Delta Lake, Unity Catalog, Delta Live Tables, structured streaming, and MLflow - Strong data modeling skills across medallion architecture, Star Schema, and Data Vault - Cloud platform experience across AWS, Azure, or GCP, with proficiency in IaC tooling such as Terraform and ARM templates - Track record of leading and mentoring engineering teams in consulting environments - Client-facing experience within an agency or consultancy required - Must be eligible to work in the United States or Canada without visa sponsorship, now or in the future Requirements - Lead and drive client working sessions focused on data architecture and data mapping, bringing clarity and direction to complex discussions with senior stakeholders - Design and own end-to-end Databricks Lakehouse architecture for marketing data ingestion, transformation, storage, and consumption—leveraging Unity Catalog, Delta Lake, Delta Live Tables, and Databricks SQL Warehouse - Design integrations between Databricks and martech platforms (Braze, CDPs, etc.) to enable customer 360 views, churn prediction, media mix modeling, dynamic pricing, and lifetime value analysis - Design and implement robust data models—including medallion architecture, Star Schema, and Data Vault—optimized for marketing analytics workloads - Enable marketers to query data conversationally and generate actionable insights without SQL through Databricks Genie and AI-powered analytics - Support the design and implementation of AI agents using Agent Bricks and the Mosaic AI Agent Framework - Review and interpret technical capability maps and frameworks, connecting them to data architecture and design decisions - Architect data governance, security, and access control policies using Unity Catalog, including lineage tracking, audit logging, PII masking, and marketing data privacy compliance - Integrate Databricks workflows into CI/CD pipelines using Terraform, Git, and Azure DevOps; implement infrastructure-as-code and automated deployment for notebooks, jobs, and clusters - Partner with clients on roadmaps, POCs, and migrations; support pre-sales efforts with technical proposals, whiteboarding sessions, and project estimation - Manage your time to meet billable targets of 36+ hours per week - Travel up to 20% for client meetings, workshops, and onsite engagements Benefits - Medical, dental, vision, and life insurance - 401k with company match - Flexible PTO policy - Monthly tech stipend - Paid parental leave - In-person onboarding experience at our HQ in Indianapolis, Indiana - Mental well-being support

• Design end-to-end SAP solution architectures across SAP S/4HANA and related SAP modules. • Translate business requirements into scalable and robust SAP technical and functional designs. • Define system integration architecture between SAP and non-SAP applications. • Provide architectural guidance during SAP implementations, upgrades, rollouts, and migrations. • Ensure alignment with SAP best practices, enterprise architecture standards, and governance models. • Collaborate with functional, technical, BASIS, and integration teams to ensure quality solution delivery. • Drive performance optimization, scalability, availability, and reliability of SAP landscapes. • Support SAP security, authorization concepts, and data protection requirements. • Review and approve technical designs, custom developments, and system configurations. • Provide technical leadership, mentoring, and guidance to SAP project teams. • Stay current with SAP roadmaps, emerging technologies, and industry trends.