Principal Solutions Architect

As a Principal Solutions Architect, you will act as a senior technical advisor to global enterprise opportunities, aligning customer objectives with Bloomreach’s data, AI, and MarTech architectures. You’ll engage CIOs, CTOs, and architects to map ecosystems, communicate complex architectures, and translate technical decisions into measurable business value. You’ll shape technical strategy across sales cycles, collaborating with product, engineering, and customer success to accelerate opportunities and demonstrate Bloomreach’s impact. This role sits at the intersection of architecture and commercial strategy, offering high visibility and influence.

• flexible working hours
• remote-first with hubs
• volunteering days (5 paid days)
• education budget up to $1,500
• employee assistance program
• well-being resources (Calm subscription)

• Act as a senior technical advisor for global strategic enterprise opportunities and customer engagements
• Build trusted relationships with CIOs, CTOs, Enterprise Architects and senior technology teams
• Map complex customer technology environments to identify where Bloomreach adds value
• Whiteboard and communicate architectures, data flows, and integration strategies to technical and executive audiences
• Advise on data movement from systems of record to real-time decisioning, personalization and activation
• Evaluate architectural trade-offs across data platforms, APIs, cloud infrastructure, identity, governance, latency and scalability
• Explain limitations of warehouse-centric approaches for real-time decisioning and activation
• Bring expertise across modern data architectures (Databricks, Snowflake, lakehouses, CDPs, APIs) and cloud platforms
• Understand identity resolution, event streams, customer profiles, data governance and real-time data requirements
• Understand enterprise MarTech ecosystems (CRMs, ESPs, personalization, marketing automation, commerce) and Bloomreach fit within broader ecosystems
• Stay current on emerging technologies and patterns in AI, data, commerce and digital experience
• Partner with Global Account Executives and Solution Consultants to shape technical strategy in complex sales cycles
• Support RFPs, architecture reviews, technical validations and customer workshops
• Connect architectural decisions to business outcomes (revenue, risk, time-to-value)
• Identify and remove technical barriers to enterprise opportunities
• Develop relationships with strategic tech partners (hyperscalers, CDPs, SI)
• Contribute to customer technology briefings and industry thought leadership
• Mentor Solution Consultants on data architecture, AI, enterprise tech and industry trends
• Contribute to accelerating opportunities and strengthening Bloomreach’s position in enterprise ecosystems
• Build relationships with Sales, Channel, Product, Engineering and Customer Success teams during onboarding and ramp
• Develop familiarity with Bloomreach platform, AI capabilities, architecture and competitive positioning

• Significant experience in a senior, customer-facing technical role in enterprise software/SaaS/digital experience
• Strong understanding of modern data architecture and cloud platforms (Databricks, Snowflake, BigQuery, lakehouses, CDPs)
• Strong understanding of APIs, event-driven architectures, data flows, identity resolution, real-time activation
• Understanding of enterprise MarTech and commerce ecosystems (CRM, ESPs, personalization, marketing automation, commerce platforms)
• Experience with enterprise cloud platforms (AWS, Google Cloud, Azure)
• Understanding of modern commerce architectures, APIs, microservices, and cloud-native technologies
• Experience supporting complex enterprise sales cycles, RFPs, and multi-stakeholder buying processes
• Experience working with CIOs, CTOs, Enterprise Architects and technology leadership
• Ability to simplify complex technical concepts and connect them to business outcomes
• Executive communication, presentation and workshop facilitation skills
• Commercial acumen linking architecture to investment, risk and business value
• Comfort in challenging customers and internal teams constructively
• Strong curiosity and ability to learn and communicate emerging AI/data/customer experience tech
• Executive presence and credibility without prior CTO role

• Executive-level communication
• Consultative problem-solving
• Strategic thinking
• Databricks
• Snowflake
• BigQuery