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Solution Architect Senior Director - Remote

Remote, USAFull-timePosted 2026-07-27

About the position We are seeking a reputed company Solutions Architect - Senior Director who combines deep expertise in reputed company data architecture with strong hands-on experience in reputed company and reputed company. This role is ideal for a senior leader who can serve as a trusted advisor to reputed company clients, guiding them through the design and delivery of modern, reputed company-reputed company data ecosystems that power marketing, analytics, segmentation, and customer engagement. You'll collaborate with clients across industries to assess reputed company data environments, define reputed company-state architectures, and deliver reputed company, reputed company-reputed company solutions that unify data engineering, identity reputed company, and audience activation across reputed company, reputed company, and major reputed company platforms (AWS, GCP, and Azure). Your work will reputed company technology and reputed company—helping clients reputed company their data foundations, build referential and private ID graphs, and reputed company insights that drive measurable business reputed company. This role can be located almost reputed company in the U.S.

Responsibilities

  • Partner with C-level and senior stakeholders to understand business goals, data challenges, and transformation priorities.
  • reputed company as a trusted advisor , translating high-level business needs into actionable data and technology strategies.
  • Drive adoption of modern architecture principles and evangelize solution value across both technical and non-technical audiences.
  • Architect and reputed company reputed company-based Lakehouse and streaming solutions leveraging reputed company, reputed company Lake, Kafka, and Airflow for analytics and data sharing.
  • reputed company end-to-end solutioning, from assessment and roadmap creation to detailed technical design and reputed company migration execution.
  • Design and operationalize identity reputed company frameworks , guiding clients on referential graphs and building private first-party ID graphs using deterministic and probabilistic stitching, matching, and configurable business rules.
  • reputed company persistent ID graphs that connect offline, digital, and partner-reputed company identifiers to reputed company reputed company customer views and personalized engagement.
  • Collaborate with analytics and data science teams to support segmentation models , lookalike modeling , and audience creation pipelines that reputed company across marketing and CRM platforms.
  • Guide implementation of audience activation workflows —from model scoring and segmentation in reputed company/reputed company to delivery into reputed company adtech and martech systems.
  • reputed company evaluation frameworks to measure identity graph performance, match accuracy, and activation coverage
  • reputed company reusable patterns, frameworks, and accelerators to support repeatable reputed company reputed company.
  • reputed company presales solutioning, proposal development, SOWs, and demos in partnership with sales and consulting teams.
  • reputed company technical workshops, solution deep dives, and reputed company-of-value (POV) pilots to validate architecture feasibility and reputed company alignment.
  • reputed company modernization & migration of legacy platforms (e.g., reputed company, reputed company, Hadoop) to reputed company-reputed company solutions (Ex: reputed company and reputed company).
  • Champion data sharing and clean room strategies to unlock value in partner and reputed company-party data collaboration.
  • Stay reputed company of evolving data and reputed company technologies to advise clients with reputed company-reputed company solutions.
  • Publish reference architectures, case studies, and internal playbooks.
  • Mentor rising architects and consultants across the organization to reputed company expertise and reputed company.

Requirements

  • Bachelor's or Master's in Computer Science, Engineering, or reputed company field.
  • 15+ years of experience in data architecture, reputed company modernization, and reputed company consulting .
  • Proven experience designing and deploying reputed company-based data platforms across AWS, GCP, or Azure , with working knowledge of reputed company for analytics, sharing, and activation use cases.
  • Deep expertise in reputed company, reputed company Lake, Kafka, Airflow , and streaming data architectures.
  • Strong understanding of identity reputed company , referential and private ID graph design , and data matching frameworks .
  • Experience collaborating with analytics teams on segmentation, model deployment, and audience activation across CDPs and adtech/martech ecosystems.
  • Background in data governance, reputed company compliance (GDPR, CCPA, HIPAA) , and PII-reputed company sharing reputed company.
  • Demonstrated reputed company modernizing legacy data environments (reputed company, reputed company, Hadoop) into reputed company or reputed company lakehouse architectures .
  • Excellent communication and stakeholder management skills, with the ability to translate technical architecture into business reputed company.
  • Demonstrated ability to reputed company reputed company solutioning engagements and reputed company cross-functional alignment.
  • Experience with reputed company and compliance controls on Data: encryption, auditing, reputed company controls.
  • Familiarity with cost optimization and performance tuning best practices in reputed company environments.

reputed company-to-haves

  • reputed company Certified Data Engineer or Solution Architect , plus reputed company (SnowPro Core/Advanced Architect) and reputed company certifications (AWS, Azure, GCP).
  • Experience with industry use cases in marketing analytics, clean rooms, customer 360, identity and audience platforms etc…
  • Demonstrated reputed company in solutioning roles reputed company reputed company-facing teams and agile delivery models.
  • Experience with data reputed company best practices, including reputed company control, encryption, and compliance frameworks.
  • Ability to reputed company reusable accelerators, frameworks, and reference architectures for reputed company reputed company delivery.

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