Senior Director - Data Engineering

Tredence Inc. is seeking a Senior Director of Data Engineering who will serve as both a hands-on technical leader and a trusted client advisor. The role involves leading pre-sales efforts, mentoring a team, and ensuring delivery excellence for data engineering solutions while developing thought leadership in the field.

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
• Serve as a subject matter expert at industry events, client briefings, and executive roundtables
• Lead delivery governance for marquee data engineering engagements, ensuring quality, timeliness, and client satisfaction
• Mentor and guide a team of data engineers and architects across projects
• Define and evolve Tredence's data engineering offerings, accelerators, and point of view across modern data stack topics (cloud data platforms, lakehouse, data mesh, real-time pipelines, DataOps)
• Partner with horizontal practices (Data Science, AI/ML, Analytics) to design integrated solutions
• Identify and pursue expansion opportunities within existing accounts
• Develop POVs, whitepapers, and solution frameworks that position Tredence as a leader in data engineering
• Stay current on market trends — cloud platform roadmaps, emerging tooling, competitive landscape — and translate them into client-relevant narratives

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
• Demonstrated success in leading or significantly contributing to large deal pursuits ($2M+) in a services/consulting environment
• Deep hands-on expertise across the modern data stack: cloud data platforms (Snowflake, Databricks, BigQuery, Redshift), orchestration (Airflow, dbt), streaming (Kafka, Spark Streaming), and cloud infrastructure (AWS, Azure, or GCP)
• Strong experience designing data architectures including data Lakehouse, data mesh, data warehouse modernization, and real-time/event-driven pipelines
• 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
• 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