Principal Architect/Solution Architect Senior Director (Databricks) [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Architect / Senior Director (Solution Architect – Databricks) based in the United States.

This is a senior, client-facing architecture leadership role that combines strategic advisory responsibility with hands-on solution design and delivery accountability across complex, enterprise-scale data environments. You will act as a trusted technical partner to clients, guiding end-to-end architecture decisions from early pre-sales engagement through full implementation and adoption. The role is centered on designing and delivering modern data platforms built on technologies such as Databricks, Snowflake, and cloud-native ecosystems, enabling advanced analytics, AI/ML use cases, and real-time data processing. You will work closely with executive stakeholders to translate business goals into scalable, high-impact technical solutions. In addition to leading architecture strategy, you will ensure successful delivery execution, drive solution quality, and oversee adoption within client environments. This is a high-visibility leadership position for an architect who thrives at the intersection of business value, platform engineering, and client success.

Accountabilities:

• Serve as a strategic advisor to enterprise clients, aligning technical architecture and data platform solutions with business objectives and long-term transformation goals.
• Lead end-to-end solution architecture for large-scale engagements, including Databricks-based data platforms, customer data ecosystems, and analytics-driven architectures.
• Own pre-sales technical leadership activities, including discovery sessions, solution framing, scoping, estimation, and proposal development for complex opportunities.
• Ensure architectural alignment with enterprise standards, cloud strategy, and best practices across data engineering, AI/ML, and real-time processing systems.
• Oversee the full lifecycle from design through implementation, ensuring successful delivery, scalability, performance, and measurable business value realization.
• Act as the primary technical escalation point for clients, guiding resolution of complex architectural, integration, and delivery challenges.
• Collaborate with internal engineering, product, and delivery teams to influence solution direction, improve methodologies, and strengthen platform capabilities.
• Provide mentorship and leadership to architects and delivery teams, promoting best practices and raising overall technical excellence.

Requirements:

• 10+ years of experience in client-facing technical roles, including solution architecture, pre-sales, and enterprise implementation leadership.
• Strong hands-on expertise with modern cloud data platforms, particularly Databricks, Snowflake, or equivalent large-scale data ecosystems.
• Deep understanding of enterprise solution architecture, including data modeling, integration patterns, and scalable distributed systems design.
• Experience with identity resolution, customer data platforms (CDP), and customer 360 architectures (deterministic and probabilistic matching).
• Proven background in designing real-time data processing systems and AI/ML-enabled analytics solutions at scale.
• Strong knowledge of cloud platforms (AWS, Azure, or GCP) and cloud migration strategies from on-premise to cloud environments.
• Experience in data-driven marketing environments such as digital marketing, CRM, or customer analytics ecosystems.
• Strong executive communication skills with the ability to translate technical complexity into clear business value for senior stakeholders.
• Demonstrated ability to lead multi-stakeholder engagements and guide cross-functional teams through complex delivery cycles.
• Bachelor’s degree in a technical or related field, or equivalent professional experience.

Benefits:

• Competitive senior executive-level compensation package
• Remote-based role within the United States
• Opportunity to lead high-impact enterprise transformation programs across leading global organizations
• Exposure to cutting-edge data, AI/ML, and cloud-native architectures at scale
• Strong autonomy and ownership over solution strategy and client success outcomes
• Collaborative environment with access to senior technical and product leadership
• Career growth opportunities into broader architecture leadership or enterprise strategy roles
• Engagement with modern Databricks and cloud data ecosystem technologies

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.