Our Mission: Our mission is to multiply what matters: growth, retention, and efficiency. We envision a future where companies, teams and people reach their full potential. Our People: People are the heart and soul of 6sense. We serve with passion and purpose. We live by our Being 6sense values of Win as One Team, Stay Curious, Do The Right Thing, Own the Outcome, and Create Belonging. Every 6sensor plays a part in defining the future of our industry-leading technology. 6sense is a place where difference-makers roll up their sleeves, take risks, act with integrity, and measure success by the value we create for our customers. We want 6sense to be the best chapter of your career. Staff Architect Role Overview We’re looking for a Staff Architect to lead architecture and technical delivery for a major domain within 6sense’s Revenue Intelligence platform (e.g., real-time signals ingestion & processing, ML inference/serving, multi-tenant data isolation, or GTM integrations & activation). This is a senior individual contributor role focused on high-leverage system design + execution leadership: driving architecture for complex initiatives, partnering closely with engineering and product leaders, and ensuring solutions are scalable, resilient, secure, and operable. You will be hands-on where it matters—through reference implementations, prototypes, and deep technical guidance that helps teams ship. Key Responsibilities Domain Architecture Ownership - Own the architecture for a core domain of the platform, ensuring it meets scalability, reliability, security, and performance requirements. - Drive end-to-end design for cross-service initiatives: clarify requirements, propose options, lead tradeoffs, and align stakeholders. - Produce high-quality design artifacts (HLDs, LLDs, data flow diagrams, API contracts) and lead design reviews. Delivery Enablement (Hands-on Leadership) - Provide hands-on technical leadership through reference implementations, prototypes/POCs, and critical-path contributions when needed. - Partner with engineering teams to translate architecture into executable plans (milestones, risks, dependencies, rollout strategy). - Help teams build “operable” systems: instrumentation, alerting, runbooks, dashboards, and failure-mode thinking. Data & Signal Processing (if domain-aligned) - Lead architecture for ingestion/enrichment pipelines handling large-scale behavioral events and third-party data. - Drive improvements to data quality, lineage, observability, and freshness SLAs. AI/ML Serving (if domain-aligned) - Guide architecture for feature pipelines and inference serving (batch and online), model monitoring, experimentation, and safe rollouts. - Partner with data science and ML engineering to productionize reliable, scalable ML systems. Multi-Tenant & Platform Foundations (if domain-aligned) - Drive patterns for tenant isolation, tenant-aware configuration, partitioning strategy, and scalable onboarding. - Identify and mitigate risks around compliance, data integrity, and access control. Integration & Activation - Lead architecture for integrations with CRM/MAP/GTM tools (Salesforce, HubSpot, Marketo, Outreach, etc.). - Establish patterns for reliable data activation (idempotency, retries, backfills, versioning, and extensibility). Engineering Excellence & Mentorship - Raise the bar through design reviews, technical mentorship, and knowledge-sharing. - Contribute to architecture standards and reusable patterns; participate in architecture forums/councils. - Identify architectural risks early and drive mitigation plans. Required Qualifications - Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. - 8+ years in software engineering with significant focus on distributed systems and system design - Demonstrated experience designing and delivering data-intensive, distributed, cloud-based systems. - Strong understanding of: - Distributed systems, reliability, scalability, fault tolerance - Microservices/event-driven architectures - API design, data modeling, integration patterns - Observability and operability (metrics/logging/tracing, incident learnings) - Experience with a major cloud platform (AWS, GCP, or Azure). - Ability to influence across teams through clear communication, strong design rationale, and pragmatic decision-making. Preferred Qualifications - Experience in B2B SaaS, MarTech/AdTech/Revenue Tech, or similar data-heavy product environments. - Experience with streaming/batch data systems (Kafka/Flink/Spark or equivalents). - Familiarity with OLAP/analytics stores (ClickHouse/Redshift/BigQuery/Druid/Trino, etc.). - Familiarity with ML platform concepts (feature pipelines, inference patterns, monitoring), even if not a full-time ML practitioner. - Experience designing multi-tenant data and service architectures. What Success Looks Like - A well-defined domain architecture that enables teams to ship confidently and operate reliably in production. - Reduced latency/freshness gaps, improved reliability/SLOs, and improved cost-to-serve within your domain. - Faster onboarding of new data sources/integrations or faster rollout of new AI-driven capabilities (depending on domain). - Strong cross-team alignment, fewer architectural surprises, and smoother delivery of major initiatives. Why 6sense You’ll work on systems that directly shape how B2B revenue teams find and win customers—at massive data scale, with real-time signals, ML-driven predictions, and deep integrations across the GTM stack. Base Salary Range: $209,496.00 - $307,260.80. The base salary range represents the anticipated low and high end of the base salary range for this position. Actual salaries may vary and may be above or below the range based on various factors, including but not limited to work location and experience. The base salary is one component of 6sense’s total compensation package for this position. Other compensation may include a bonus program or commission plan, and stock options if approved by 6sense’s board. In addition, 6sense provides a variety of benefits, including generous health insurance coverage, life, and disability insurance, a 401K employer matching program, paid holidays, self-care days, and paid time off (PTO). #Li-remote Notice of Collection and Use of Personal Information for California Residents: California Recruitment Privacy Notice and Policy Our Benefits: Full-time employees can take advantage of health coverage, paid parental leave, generous paid time-off and holidays, quarterly self-care days off, and stock options. We’ll make sure you have the equipment and support you need to work and connect with your teams, at home or in one of our offices. We have a growth mindset culture that is represented in all that we do, from onboarding through to numerous learning and development initiatives including access to our LinkedIn Learning platform. Employee well-being is also top of mind for us. We host quarterly wellness education sessions to encourage self care and personal growth. From wellness days to ERG-hosted events, we celebrate and energize all 6sense employees and their backgrounds. Equal Opportunity Employer: 6sense is an Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to jobs@6sense.com. We are aware of recruiting impersonation attempts that are not affiliated with 6sense in any way. All email communications from 6sense will originate from the @6sense.com domain. We will not initially contact you via text message and will never request payments. If you are uncertain whether you have been contacted by an official 6sense employee, reach out to jobs@6sense.com

• End-to-End Data Modeling: Lead the full modeling lifecycle (Conceptual, Logical, and Physical), ensuring healthcare business rules are accurately translated into the database. • Hybrid Architecture: Dimensional modeling (Star Schema) for consumption and analytics layers. • Standardization and Governance: Define and promote naming conventions, entity standards, keys, and metadata to ensure consistency across different squads. • Layer Design (Medallion Architecture): Develop the logical design of datasets and organize data layers (Bronze, Silver, Gold). • Documentation and Lineage: Ensure end-to-end data lineage and maintain technical documentation to enable self-service BI for other teams. • Model QA: Serve as a technical reviewer of models created by engineers and analysts, ensuring performance and data integrity.

• Modernize systems in large companies in Brazil; • Apply and evangelize best practices for development and operations; • Ensure continuous delivery of high-quality code; • Propose innovative solutions; • Support and mentor other team members.

• Review of the architecture of existing systems; • Analysis of the integration of different information systems; • Design, review and development of datawarehouse architecture components; • Production of datawarehouse architecture documents, design and analysis models, implementation models; • Follow up of the data analysis and data modelling; • Documentation of the technical implementations; • Provide assistance or support in the resolution of production issues and data quality issues; • Assistance in the testing, the technical documentation, the deployment, the evaluation and the reporting.