Trace3
We Believe All Possibilities Live in Technology
Solutions Architect, Data & Analytics
Location
California
Posted
99 days ago
Salary
$150K - $200K / year
Bachelor Degree7 yrs expEnglishAWSAzureBig QueryCloudETLGoogle Cloud Platform
Job Description
• Serve as a trusted data advisor to enterprise clients, guiding strategy, modernization, and platform transformation through consultative, outcome-based engagement.
• Lead client discovery and assessment sessions to capture business requirements, define success criteria, and translate needs into actionable architecture recommendations.
• Evaluate enterprise data warehouse, lakehouse, and analytics architectures for feasibility, scalability, risk, and alignment with organizational goals.
• Design and recommend modern data architectures across cloud and hybrid ecosystems (AWS, Azure, GCP, Snowflake, Databricks, Synapse, BigQuery, etc.).
• Develop and deliver executive-ready presentations, proposals, Statements of Work (SOWs), and technical documentation that clearly communicate Trace3’s value and differentiation.
• Produce level-of-effort estimates, solution pricing inputs, and clean presales-to-delivery handoffs to ensure client success and delivery readiness.
• Collaborate with Cloud, Infrastructure, and Security teams to design converged solutions that span Trace3’s broader technology portfolio.
• Partner with the Data & Analytics practice to refine GTM strategy, offerings, and practice positioning.
• Drive pipeline creation and growth through proactive client engagement, opportunity qualification, and strategic pursuit support.
• Build and maintain referenceable client relationships, ensuring long-term trust and measurable outcomes.
• Lead workshops, demos, proofs-of-value (POVs), rapid assessments and thought leadership sessions to educate and inspire clients.
Job Requirements
- 7+ years of experience in data architecture, data engineering, or analytics platform design, with 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.
Benefits
- Comprehensive medical, dental and vision plans for you and your dependents
- 401(k) Retirement Plan with Employer Match, 529 College Savings Plan, Health Savings Account, Life Insurance, and Long-Term Disability
- Competitive Compensation
- Training and development programs
- Major offices stocked with snacks and beverages
- Collaborative and cool culture
- Work-life balance and generous paid time off
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