Sales and Delivery Architect – Director

Job not on LinkedIn

🕒 September 28

🗽 New York – Remote

🗽 New York – Remote

💵 $113k - $175k / year

⏰ Full Time

🔴 Lead

🤑 Sales

👻 Ghost score 32%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 47 days.
• Jobs at this company usually fill in 24 days.
• 209 open roles for a team of 108.

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dentsu Austria

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1900

📣 Marketing

📱 Media

🏢 Enterprise

Marketing • Media • Enterprise

dentsu Austria is a part of the Dentsu Group, serving as an integrated growth and transformation partner to leading organizations worldwide. The company focuses on pushing the boundaries of business transformation and sustainable growth, providing world-class services and integrated solutions. Dentsu Austria is committed to innovating and creating experiences that enrich every business, with a strong emphasis on research, analysis, and media trends. By leveraging their global network of innovators, they strive to simplify complexities and drive impactful outcomes for brands, people, and society.

📋 Description

• Lead database and data platform implementation projects through the full development lifecycle • Serve as solution lead and technical subject matter expert • Lead pre-sales technical engagements, workshops, architecture reviews, assessments, and proofs of concept • Develop business cases and proposal content for data platform and Databricks initiatives • Build relationships with technical decision-makers and provide technical counsel • Contribute to RFP responses and competitive positioning • Own client technical relationships and deliver complex Databricks-based data transformation programs • Validate and refine technical designs with Solutions Architects • Make architecture, platform configuration, data modeling, and tooling decisions • Design reusable Databricks implementations, reference architectures, and accelerators • Conduct architecture reviews, code reviews, and technical assessments • Surface data quality issues, integration risks, and scope or schedule impacts • Mentor engineers and grow team technical and client-facing capabilities • Maintain Databricks expertise across SQL, Python, Unity Catalog, Delta Live Tables, lakehouse patterns, and AI/ML integration • Evaluate adjacent cloud, orchestration, and data platform tooling • Create playbooks, reference architectures, best-practice guides, POV papers, assessment frameworks, and maturity models • Lead technical discovery with C-suite and director-level stakeholders • Represent Merkle’s Databricks expertise in client forums, advisory boards, steering committees, and vendor conversations • Use AI tools to accelerate delivery and documentation

🎯 Requirements

• 8+ years building data platform implementations on cloud data warehouses • At least 3 years of hands-on experience with Databricks, including SQL, Python, DLT, Unity Catalog, or equivalent scope • Advanced SQL and Python; ability to code production-quality data pipelines without oversight • Deep experience with relational and lakehouse data modeling, including Customer 360 and conformed data models • Demonstrated experience participating in and leading complex, multi-phase delivery programs • Exceptional client-facing communication skills; comfortable presenting to C-suite and technical audiences • Ability to build credibility and trust with technical and business stakeholders • Experience with data observability, pipeline automation, and formal change control in production environments • Demonstrated regular use of AI coding assistants such as GitHub Copilot, Cursor, or Claude Code • Active use of AWS, GCP, or Azure; working knowledge of cloud data architecture • Databricks Certified Data Engineer (Professional level) or Databricks Solutions Architect Certification strongly preferred • Active Databricks thought leadership and community engagement strongly preferred • Experience with Databricks AI capabilities, enterprise-scale governance and Unity Catalog, modern orchestration, pre-sales/discovery, adjacent data platforms, and mentoring strongly preferred • Growth mindset, advisory orientation, collaborative leadership, clarity, and client advocacy

🏖️ Benefits

• Medical, vision, and dental insurance • Life insurance • Short-term and long-term disability insurance • 401k • Flexible paid time off • At least 15 paid holidays per year • Paid sick and safe leave • Paid parental leave • Employee leave benefits in accordance with applicable state and local laws

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