
Sales and Delivery Architect, Director
Posted 2 days ago

Posted 2 days ago
This is a fully remote position, open to applicants in New York.
• Oversee database implementation projects throughout the entire development life cycle.
• Direct solution architecture, design, development, testing, and deployment processes.
• Act as a technical subject matter expert for client solutions.
• Lead pre-sales technical engagements, including workshops, architecture reviews, assessments, and proofs of concept.
• Create business cases and proposal content that quantify the value of data platform initiatives and Databricks projects.
• Establish and nurture relationships with technical decision-makers while providing expert technical counsel.
• Contribute to RFP responses and enhance competitive positioning.
• Manage technical relationships with client data leadership and engineering teams.
• Deliver or oversee complex data transformation programs based on Databricks.
• Work with Solutions Architects to validate and enhance technical designs.
• Make pivotal technical decisions regarding architecture, platform configuration, data modeling, and tooling.
• Design reusable Databricks implementations, reference architectures, and accelerators.
• Conduct architecture and code reviews, along with technical assessments.
• Identify data quality issues, integration risks, and impacts on scope or schedule.
• Mentor and guide engineers while contributing to team capability enhancement.
• Maintain expertise in Databricks and advise clients on product roadmaps and emerging capabilities.
• Evaluate related data platform tools, cloud platforms, orchestration, and consumption patterns.
• Contribute to certifications, thought leadership, knowledge management, playbooks, and best-practice guides.
• Facilitate technical discovery workshops with C-suite and director-level stakeholders.
• Clarify complex architecture and data engineering decisions for non-technical audiences.
• Generate thought leadership and advisory content.
• Represent the firm in client forums, advisory boards, and steering committees.
• Utilize AI tools to streamline delivery and documentation processes.
• 8+ years of experience in building data platform implementations on cloud data warehouses.
• Minimum of 3 years of hands-on experience with Databricks.
• Proficiency in Databricks SQL, Python, DLT, Unity Catalog, or similar technologies.
• Advanced skills in SQL and Python, capable of coding production-quality data pipelines independently.
• Extensive experience in relational and lakehouse data modeling.
• Experience in designing Customer 360 and conformed data models.
• Proven track record in participating in and leading complex, multi-phase delivery programs.
• Outstanding client-facing communication skills with C-suite and technical audiences.
• Ability to establish credibility and build trust with both technical and business stakeholders.
• Familiarity with data observability, pipeline automation, and formal change control in production settings.
• Regular use of AI coding assistants like GitHub Copilot, Cursor, or Claude Code.
• Proficient in AWS, GCP, or Azure, with working knowledge of cloud data architecture.
• Databricks Certified Data Engineer (Professional level) or Databricks Solutions Architect Certification is highly preferred.
• Active engagement in Databricks thought leadership is strongly preferred.
• Familiarity with Databricks AI capabilities, enterprise-scale governance, Unity Catalog, modern orchestration, pre-sales/discovery, adjacent platforms, and mentoring is strongly preferred.
• Possess a growth mindset, advisory orientation, collaborative leadership, a bias toward clarity, and a commitment to client advocacy.
• Medical, vision, and dental insurance.
• Life insurance.
• Short-term and long-term disability insurance.
• 401k plan.
• Flexible paid time off.
• At least 15 paid holidays each year.
• Paid sick and safe leave.
• Paid parental leave.
• Employee leave benefits in accordance with applicable state and local laws.
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