Solutions Architect | Data & Analytics (Remote)

Trace310 months ago
Irvine, CA, United States
Remote
Full-time
Junior Level (1-3 years)

Job Description

Position Overview

Trace3 is a leading Transformative IT Authority providing unique technology solutions and consulting services. With elite engineering and dynamic innovation, we empower IT executives and their organizations to achieve a competitive advantage by integrating, automating, and innovating. Headquartered in Irvine, California, and supporting over 1,200 employees nationwide, Trace3 embodies a startup spirit combined with the support of a scalable business.

JOB SUMMARY: The Solutions Architect, Data & Analytics is a client-facing strategist and pre-sales leader who defines and executes modern data strategies. The role requires a blend of deep technical expertise in data architecture and engineering with business acumen to influence executive strategy and design scalable solutions. The candidate will work closely with enterprise clients and internal teams to shape client outcomes and drive pipeline growth. Estimated Pay Range: $150,000-$200,000 USD

Key Responsibilities

  • 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 and translate needs into actionable architecture recommendations.
  • Evaluate and design modern data architectures across cloud and hybrid ecosystems (including AWS, Azure, GCP, Snowflake, Databricks, Synapse, BigQuery, etc.).
  • Develop and deliver executive-ready presentations, proposals, Statements of Work (SOWs), and technical documentation that communicate Trace3’s value.
  • Collaborate with Cloud, Infrastructure, and Security teams to design converged solutions and support seamless presales-to-delivery handoffs.
  • Drive pipeline creation and growth through proactive client engagement, opportunity qualification, and thought leadership sessions like workshops, demos, and proofs-of-value.

Required Qualifications

  • 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 role.
  • Expertise in data modeling, ETL/ELT pipelines, integration frameworks, and performance optimization.
  • Proven 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, and BigQuery.
  • Working knowledge of data governance, analytics enablement, and related domains including Cloud, Infrastructure, and Security.
  • Experience supporting sales cycles with solution design, proposal development, and executive presentations.
  • Strong communication, relationship-building skills, and ability to translate technical concepts for varied audiences.
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.

Preferred Qualifications

  • Familiarity with AI/ML applications and their integration into data ecosystems.
  • Prior experience in a consulting or technology organization in a client-facing capacity.
  • Relevant certifications (e.g., AWS/Azure/GCP Architect, Snowflake SnowPro, Databricks Certified Data Engineer) are desirable.

Benefits & Perks

  • 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 with generous paid time off.

Required Skills

BigQuery
Synapse
data architecture
Microsoft Fabric
client advisory
ETL/ELT pipelines
cloud integration
data engineering
Snowflake
analytics platform design
Databricks
consulting