Principal Architect / Senior Director (Databricks)
New
Remote-based role within the United StatesFull-TimeDirector
Salary not disclosed
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Job Details
- Experience
- 10+ years
- Required Skills
- AWSGCPSnowflakeAzureData engineeringData modelingDatabricks
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.
Responsibilities
- 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.
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