Regional Senior Solutions Architect | Data & Analytics (Remote)
T
Trace3Data & Analytics
United StatesFull-TimeSenior
Salary150000 - 200000 USD per year
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Job Details
- Languages
- English
- Experience
- 7+ years
- Required Skills
- AWSLeadershipSQLArtificial IntelligenceCloud ComputingETLGCPMachine LearningSnowflakeSoftware ArchitectureAzureData engineeringData modelingData analyticsData management
Requirements
- 7+ years of experience in data architecture, data engineering, or analytics platform design.
- At least 5+ years in a client advisory, pre-sales, or consulting capacity.
- Solid expertise in data architecture and engineering, including data modeling, ETL/ELT pipelines, integration frameworks, and performance optimization.
- Demonstrated ability to design and implement enterprise data platforms across on-premises and cloud environments.
- Hands-on experience with modern data technologies such as Snowflake, Databricks, Microsoft Fabric, Synapse, BigQuery, or similar.
- Working knowledge of data governance, analytics enablement, and related technology domains (Cloud, Infrastructure, Security).
- Experience supporting sales cycles through solution design, proposal development, and presentations.
- Strong communication and relationship-building skills, with the ability to present technical concepts to both technical and non-technical audiences.
- Ability to create high-quality deliverables including architecture diagrams and technical documentation.
- Business acumen to connect data solutions to business outcomes and ROI.
- Familiarity with AI/ML applications and their integration into data ecosystems is a plus.
- Prior experience working for a consulting or technology organization in a client-facing capacity preferred.
- Ability to work independently and as part of cross-functional teams.
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field.
- Relevant certifications (AWS/Azure/GCP Architect, Snowflake SnowPro, Databricks Certified Data Engineer, etc.) are desirable.
Responsibilities
- Serve as a trusted data advisor to enterprise clients, guiding strategy, modernization, and platform transformation.
- Lead client discovery and assessment sessions to capture business requirements and translate them into actionable architecture recommendations.
- Evaluate enterprise data warehouse, lakehouse, and analytics architectures.
- Design and recommend modern data architectures across cloud and hybrid ecosystems.
- Develop and deliver executive-ready presentations, proposals, Statements of Work (SOWs), and technical documentation.
- Produce level-of-effort estimates, solution pricing inputs, and presales-to-delivery handoffs.
- Collaborate with Cloud, Infrastructure, and Security teams to design converged solutions.
- Partner with the Data & Analytics practice to refine GTM strategy, offerings, and practice positioning.
- Drive pipeline creation and growth through proactive client engagement and opportunity qualification.
- Build and maintain referenceable client relationships.
- Lead workshops, demos, proofs-of-value (POVs), rapid assessments and thought leadership sessions.
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