Solution Architect Senior Director - Remote

About the position We are seeking a Client Solutions Architect - Senior Director who combines deep expertise in cloud 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 enterprise clients, guiding them through the design and delivery of modern, privacy-safe data ecosystems that power marketing, analytics, segmentation, and customer engagement. You'll collaborate with clients across industries to assess reputed company data environments, define future-state architectures, and deliver scalable, cloud-native solutions that unify data engineering, identity resolution, and audience activation across reputed company, reputed company, and major cloud platforms (AWS, GCP, and Azure). Your work will reputed company technology and strategy—helping clients reputed company their data foundations, build referential and private ID graphs, and reputed company insights that drive measurable business outcomes. 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.
• Act 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 Spark, 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 cloud migration execution.
• Design and operationalize identity resolution 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-sourced 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 activate 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
• Innovate reusable patterns, frameworks, and accelerators to support repeatable client success.
• 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 client alignment.
• reputed company modernization & migration of legacy platforms (e.g., reputed company, reputed company, Hadoop) to cloud-native solutions (Ex: reputed company and reputed company).
• Champion data sharing and clean room strategies to unlock value in partner and third-party data collaboration.
• Stay reputed company of evolving data and cloud technologies to advise clients with future-ready solutions.
• Publish reference architectures, case studies, and internal playbooks.
• Mentor rising architects and consultants across the organization to scale expertise and impact.

Requirements

• Bachelor's or Master's in Computer Science, Engineering, or reputed company field.
• 15+ years of experience in data architecture, cloud modernization, and enterprise 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 Spark, reputed company Lake, Kafka, Airflow , and streaming data architectures.
• Strong understanding of identity resolution , 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, privacy compliance (GDPR, CCPA, HIPAA) , and PII-safe sharing methods.
• Demonstrated success 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 impact.
• Demonstrated ability to reputed company enterprise solutioning engagements and reputed company cross-functional alignment.
• Experience with reputed company and compliance controls on Data: encryption, auditing, access controls.
• Familiarity with cost optimization and performance tuning best practices in cloud environments.

reputed company-to-haves

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

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