Tredence
Senior Director - Data Engineering
San Jose, Santa Clara County · Director
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The bottom of this range ($12,000) is below the Level I prevailing wage of $125,486. An H-1B cannot be filed below the prevailing wage, so an offer at the floor of this band could not be sponsored as posted.
DOL prevailing wage, 2026-27 wage year · Data Scientists (15-2051) · San Jose-Sunnyvale-Santa Clara, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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Third-party placement is common here
Green-card follow-through: 63%
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About the role
- The Director / Senior Director of Data Engineering is a dual-mandate role: you are both a hands-on technical leader and a trusted client advisor.
- This role is ideal for someone who thrives in front of clients, speaks the language of both business and data infrastructure, and can turn ambiguous client problems into crisp, winning solution narratives.
Responsibilities
- Lead technical discovery sessions and workshops with C-suite and VP-level client stakeholders to understand their data engineering challenges, priorities, and maturity
- Design and articulate end-to-end data engineering solutions (architecture, platform, team model, roadmap) tailored to client context
- Own the technical sections of RFP/RFI responses, proposals, and SOWs; ensure solutions are differentiated, commercially viable, and deliverable
- Build and present compelling demos, PoCs, and reference architectures that accelerate deal closure
- Collaborate with Account Executives and Practice leadership to qualify opportunities, shape pursuit strategies, and support pricing
- Lead delivery governance for marquee data engineering engagements, ensuring quality, timeliness, and client satisfaction
- Partner with horizontal practices (Data Science, AI/ML, Analytics) to design integrated solutions
- Develop POVs, whitepapers, and solution frameworks that position Tredence as a leader in data engineering
Requirements
- 12-18 years of overall experience in data engineering, data architecture, or data platform roles, with at least 3-5 years in a client-facing, pre-sales, or solutions consulting capacity
- Proven ability to engage and influence senior client stakeholders (CTO, CDO, VP Engineering) - translating technical concepts into business outcomes
- Experience owning or co-owning proposal responses, architecture blueprints, and executive presentations
- Strong understanding of data governance, data quality, and DataOps practices
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
Nice to have
- Experience in Retail, CPG, or Technology verticals (aligned to Tredence's core industries)
- Familiarity with AI/ML platform integration and MLOps in the context of data engineering
- Cloud certifications (AWS Solutions Architect, GCP Professional Data Engineer, Azure Data Engineer, Databricks or Snowflake certifications)
- MBA or equivalent business acumen developed through client advisory roles
- Prior experience at a top-tier analytics/data consulting firm or Big 4
- What Success Looks Like in Year One
- Actively contributed to 3-5 new logo or expansion pursuits, with at least 2 wins
- Established as a trusted technical advisor with 2-3 strategic client accounts
Compensation
- $12k-$18k
This listing is sourced directly from Tredence's careers page and normalized into a canonical job model.