Principal Architect/Solution Architect Senior Director (Databricks)

Acxiom
Conway, United States of America
31 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote
Conway, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Business Analytics Applications
Data analysis
Azure
Big Data
Databases
Customer Data Management
Machine Learning
Cloud Platform System
Snowflake
Real Time Data
Data Management
Cloud Migration
Stream Processing
User Identification
Databricks

Job description

The Principal Solution Architect is a senior leadership role that blends hands-on delivery accountability with executive-level strategy. This role ensures solutions are not only well-designed, but successfully implemented and realized within client environments.

This individual serves as a trusted advisor to clients, owning the end-to-end solution lifecycle-from pre-sales through implementation-while driving technical excellence, client value, and business outcomes.

Client Leadership & Solution Strategy

  • Serve as a strategic advisor to clients, aligning technical solutions with business objectives and long-term vision
  • Lead solution design for complex, enterprise-scale engagements across multiple clients or industries
  • Ensure all solutions align with enterprise architecture standards and technical strategy
  • Act as the primary technical escalation point for assigned clients, * Lead technical pre-sales activities including discovery, solution framing, and proposal development
  • Own scoping, estimation, and cost modeling for large and complex opportunities
  • Review and validate proposals for technical integrity, feasibility, risk, and alignment to standards
  • Deliver impactful technical presentations tailored to varying stakeholder audiences

Delivery & Implementation Oversight

  • Own the transition from pre-sales to delivery, ensuring continuity and execution success
  • Provide ongoing leadership and oversight throughout implementation
  • Ensure solutions are scalable, optimized, and deliver measurable client value
  • Drive successful adoption and realization of solutions within client environments

Thought Leadership & Continuous Improvement

  • Develop and share technical best practices, frameworks, and reusable assets
  • Act as a domain expert within assigned industries or solution areas
  • Stay current on industry trends, emerging technologies, and competitive landscape
  • Identify and drive process improvements that enhance client outcomes and profitability, * Partner with internal product, engineering, and delivery teams to influence product direction
  • Mentor and guide less experienced architects and team members
  • Foster cross-functional alignment and promote standard methodologies and best practices

Requirements

  • Deep expertise in enterprise solution architecture and design for complex systems
  • Strong understanding of identity resolution (deterministic and probabilistic matching, offline/online stitching)
  • Hands-on experience with modern cloud data platforms such as Snowflake, Databricks, or similar
  • Knowledge of AI/ML concepts applied to large-scale data processing and analytics
  • Experience designing real-time data architectures and Customer Data Platforms (CDP / Customer 360)
  • Strong business acumen with the ability to communicate technical value to non-technical stakeholders
  • Exceptional communication, relationship-building, and leadership skills

Qualifications (Required)

  • 10+ years of combined experience in technical pre-sales and solution implementation
  • 10+ years of experience in client-facing roles, including executive-level engagement
  • 5+ years of experience in data-driven marketing environments (database, direct, or digital marketing)
  • Bachelors Degree and/or equivalent experience
  • Cloud platform expertise (AWS, Azure, or GCP)
  • Non-cloud to cloud migration strategies
  • Snowflake, Databricks, or similar data platforms
  • Clean room technologies
  • Customer Data Platforms (CDP / Customer 360)
  • Real-time data processing architectures
  • AI/ML-enabled analytics solutions

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