Sales and Delivery Architect, Director (Databricks)

About the role

Dentsu's Merkle brand is hiring a Director, Sales and Delivery Architect (also described as Director, Data Engineer) to take database implementation projects through the full development life cycle. As solution lead and technical subject matter expert, the role works across pre-sales, discovery and delivery, advising clients on Databricks architecture and leading complex data transformation programs. The position is remote, based in New York.

Key responsibilities

• Lead pre-sales technical engagements (workshops, architecture reviews, assessments, POCs) and build business cases and proposals that quantify ROI, cost avoidance and speed-to-insight
• Build relationships with technical decision-makers (CDOs, data leaders) and contribute to RFP responses and competitive positioning
• Own the technical relationship with client data leadership and engineering teams, deliver complex Databricks-based data transformation programs and make day-to-day technical decisions on architecture, configuration, data modeling and tooling
• Design reusable Databricks implementations, reference architectures and accelerators, and conduct architecture and code reviews
• Mentor engineers, share knowledge and contribute to playbooks, reference architectures and best-practice guides
• Lead technical discovery workshops, explain Databricks architecture to non-technical audiences, and produce thought leadership such as POV papers and assessment frameworks
• Represent the firm in client forums, advisory boards and steering committees

Required profile

• 8+ years building data platform implementations on cloud data warehouses, with at least 3 years of hands-on Databricks experience
• Track record of leading complex, multi-phase delivery programs and delivering on time and on budget
• Exceptional client-facing communication, able to present technical concepts to C-suite and technical audiences
• Experience with data observability, pipeline automation and formal change control in production
• Growth mindset, advisory orientation, collaborative leadership and client advocacy

Required skills

• Advanced SQL and Python, able to code production-quality data pipelines
• Lakehouse data modeling, including Customer 360 and conformed data models
• Cloud platforms (AWS, GCP or Azure)
• Preferred: Databricks certifications, Databricks AI capabilities, Airflow, Prefect, dbt, and governance and Unity Catalog at enterprise scale

What we offer

• Salary range of $113,000 - $175,000
• Medical, vision and dental insurance, life insurance, and short- and long-term disability insurance
• 401k, flexible paid time off, at least 15 paid holidays per year, paid sick and safe leave, and paid parental leave