15 days ago
Base Salary
$200k - $210k/yr
Responsibilities
- Advise enterprise clients on data and AI strategy, modernization, platform transformation, and business outcomes.
- Lead discovery, assessment, architecture design, workshops, demonstrations, proofs of value, and thought leadership sessions.
- Evaluate data warehouse, lakehouse, analytics, and AI architectures for feasibility, scalability, risk, and organizational alignment.
- Design modern data architectures across cloud and hybrid ecosystems.
- Create executive presentations, proposals, Statements of Work, technical documentation, effort estimates, and pricing inputs.
- Support sales cycles from opportunity qualification and solution design through proposal, presentation, closure, and delivery handoff.
- Collaborate with Cloud, Infrastructure, Security, Data & Analytics, and AI teams on converged solutions and go-to-market strategy.
- Build client relationships, drive pipeline growth, mentor regional architects and account teams, and contribute to public speaking and content development.
Requirements
- 10+ years of experience in data architecture, data engineering, or analytics platform design, including 3–5 years in pre-sales, client advisory, or consulting.
- Deep expertise in data modeling, ETL/ELT ingestion pipelines, integration frameworks, performance optimization, and enterprise data platform modernization.
- Hands-on proficiency with Snowflake, Databricks, Microsoft Fabric, Synapse, BigQuery, or similar technologies.
- Working knowledge of data governance, observability, analytics enablement, Cloud, Infrastructure, and Security.
- Demonstrated success supporting sales cycles, driving pipeline, creating architecture diagrams and proposals, and connecting data investments to business outcomes and ROI.
- Exceptional executive communication, storytelling, relationship-building, business acumen, and ability to lead cross-functional teams.
- Familiarity with AI/ML applications and their integration into modern data ecosystems is preferred.
- Prior client-facing experience at a consulting or technology organization is preferred.
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
- AWS, Azure, or GCP Architect; Snowflake SnowPro; Databricks Certified Data Engineer; TOGAF; or similar certifications are highly desired.
- Must be located in or around Denver, Colorado.
Benefits
- Comprehensive medical, dental, and vision plans; 401(k) with employer match; 529 College Savings Plan; Health Savings Account; life insurance; and long-term disability coverage.
- Training and development programs, generous paid time off, work-life balance, and collaborative workplace culture.
- Major offices provide snacks and beverages; variable incentive compensation such as bonuses or commissions may be available for eligible positions.
Tech Stack
Categories
Solutions Engineering
About Trace3
Trace3 is an IT solutions integrator and consulting firm that designs, implements, and operates data, security, and cloud infrastructure for enterprises. Its offerings span advisory services, systems integration, and managed operations across networking, storage, backup, and data platforms. Founded in 2002 and headquartered in Irvine, California, Trace3 is privately held and backed by American Securities.