Sales and Delivery Architect, Director (L40)

The purpose of this role is to take database implementation projects through the entire development life cycle. This role will work as the solution lead and will be directly involved in the architecture, solution design, development, testing and deployment of the solution. This role serves as the technical subject matter expert for the solution.Job Description:The Director, Data Engineer – Technical Leadership & Advisory is a senior technical leadership role grounded in Databricks expertise, client advisory, and delivery excellence. You operate fluidly across pre-sales, discovery, and delivery—building deep credibility with clients by listening to technical challenges, sketching solutions in real time, and leading the delivery of complex data transformation programs. You are equally comfortable in a CMO's boardroom discussing data strategy outcomes and in a technical workshop whiteboarding a Databricks architecture with a client's data engineering team.You bridge the gap between what clients think they need and what they actually need. Your value comes from the combination of hands-on technical depth, clear business communication, and the ability to be present across the full engagement lifecycle. Clients and internal teams seek you out because you understand both the technical constraints and the business outcomes, and you have a track record of delivering on complex programs.This role is about deepening client relationships through demonstrated credibility, contributing to practice capability in data platforms, and mentoring internal talent. You help shape how Merkle positions and delivers Databricks work—both through the quality of your delivery and through the relationships you build with clients and partners.Key ResponsibilitiesClient Advisory & Pre-Sales SolutioningParticipate in and lead pre-sales technical engagements (workshops, architecture reviews, assessments, POCs) that help clients understand their data platform needs and Databricks-fitDevelop business cases and proposal content that quantifies the value of data platform and Databricks-specific initiatives (ROI, cost avoidance, speed-to-insight, etc.)Build and maintain strong relationships with technical decision-makers (CDOs, data leaders, platform owners) by providing credible, honest technical counselContribute to RFP responses and competitive positioning, with focus on technical differentiation and implementation feasibilityListen actively during discovery and delivery for unmet technical needs and opportunities; surface these to Solutions Architects, leadership, and client stakeholdersRepresent the firm's Databricks capability in client conversations; be a trusted technical voice in strategic discussionsTechnical Leadership & DeliveryOwn the technical relationship with client data leadership and engineering teams; be the trusted voice on architecture, feasibility, and riskDeliver or lead delivery of complex data transformation programs anchored in Databricks environments; ensure technical quality and client satisfactionCollaborate with Solutions Architects to validate and refine technical designs before execution; ensure feasibility assumptions hold in deliveryMake day-to-day technical decisions on architecture, platform configuration, data modeling, and tooling within delivery engagements; explain tradeoffs clearlyDesign and build reusable Databricks implementations, reference architectures, and accelerators that accelerate future engagementsConduct architecture reviews, code reviews, and technical assessments; contribute to technical standards and best practices across the teamSurface and escalate data quality issues, integration risks, and scope/schedule impacts proactively; propose remediation approachesAs applicable, mentor or lead engineers on engagements; contribute to growing team technical capabilityPlatform Expertise & Thought LeadershipMaintain world-class expertise in Databricks: SQL, Python, Unity Catalog, Delta Live Tables, lakehouse patterns, AI/ML integration, and emerging Databricks AI capabilitiesStay current on the Databricks product roadmap and emerging capabilities; advise clients on where Databricks is going and what that means for their architectureEvaluate and recommend data platform tooling adjacent to Databricks: cloud platforms (AWS, GCP, Azure), orchestration (Airflow, dbt), and consumption patternsBuild and maintain Databricks certifications and thought leadership; consider active participation in Databricks communities, user groups, or speaking engagementsContribute to internal knowledge management: playbooks, reference architectures, and best-practice guides that become assets the practice reusesMentor and develop engineers; elevate their technical and/or client-facing capabilityClient-Facing Communication & AdvisoryLead technical discovery workshops with C-suite and director-level stakeholders; frame data platform investments in business outcome termsExplain complex Databricks architecture and data engineering decisions to non-technical audiences (CMOs, CFOs, board members) with clarity and business contextProduce thought leadership and advisory content: POV papers, assessment frameworks, and capability maturity models that position Merkle and yourself as authoritiesRepresent the firm in client forums, advisory board meetings, and steering committees where data platform strategy is discussedWhat Success Looks LikeLarge, complex Databricks delivery engagements delivered on time, on budget, with high client satisfaction and clear technical governanceA reputation within key client accounts as the trusted technical voice—someone clients ask for and rely on to solve complex data infrastructure problemsDeep relationships with client technical and business stakeholders; clients and internal teams seek you out for solutioning conversations and technical adviceReusable Databricks implementations, reference architectures, and accelerators that the practice leverages to compress timelines and improve delivery qualityContributions to pre-sales engagements that demonstrate technical credibility and help shape how Merkle positions Databricks capabilitiesInternal mentorship and knowledge-sharing; engineers grow in technical capability and client-facing confidence through exposure to your workDemonstrable depth in Databricks: current certifications, awareness of product roadmap and emerging capabilities, and ability to articulate why decisions matterRepresentation of Merkle's Databricks expertise both internally and externally (internal forums, client presentations, vendor conversations)AI tools embedded in your technical workflow and actively used to accelerate delivery and documentationQualificationsRequired (Core)8+ years building data platform implementations on cloud data warehouses, with 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 oversightDeep experience with relational and lakehouse data modeling; design of Customer 360 and conformed data modelsDemonstrated experience participating in and leading complex, multi-phase delivery programs; clear track record of technical delivery successExceptional client-facing communication skills; comfortable presenting technical concepts to both C-suite and technical audiencesDemonstrated ability to build credibility and trust with client stakeholders across technical and business functionsExperience with data observability, pipeline automation, and formal change control in production environmentsDemonstrated use of AI coding assistants (GitHub Copilot, Cursor, Claude Code) as a regular productivity toolActive use of cloud platforms (AWS, GCP, or Azure); working knowledge of cloud data architectureStrongly PreferredDatabricks Certified Data Engineer (Professional level) or Databricks Solutions Architect CertificationActive engagement with Databricks thought leadership: community participation, conference speaking, or knowledge-sharingExperience with Databricks AI capabilities (Databricks AI Functions, vector search, or Mosaic AI)Experience with governance and Unity Catalog implementation at enterprise scaleHands-on experience with modern data orchestration (Airflow, Prefect, dbt)Contribution to pre-sales / discovery engagements; ability to articulate technical value propositionsExperience with adjacent platforms: Adobe AEP/RTCDP, Salesforce Data Cloud, or cloud analytics platformsMentoring experience; track record of growing junior engineers' technical and/or client-facing skillsCultural / BehavioralGrowth mindset: genuine curiosity about client business problems and appetite for learning new platforms and use casesAdvisory orientation: comfortable with ambiguity, comfortable offering recommendations even with imperfect information, comfortable taking educated risk in solutioningCollaborative leadership: mentors and elevates team members; shares knowledge freely; does not hoard expertiseBias toward clarity: produces clear documentation, architecture diagrams, and business case narratives; commits to making complexity accessibleClient advocate: willing to push back on aggressive timelines or scope while remaining collaborative; escalates issues early rather than lateThe annual salary range for this position is $113,000 - $175,000. Placement within the salary range is based on a variety of factors, including relevant experience, knowledge, skills, and other factors permitted by law. Benefits available with this position include: 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, and Paid parental leave. Dentsu also complies with applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, in accordance with its plans and policies. For further details regarding Dentsu benefits, please visit To begin the application process, please click on the “Apply” button at the top of this job posting. Applications will be reviewed on an ongoing basis, and qualified candidates will be contacted for next steps.#LI-JH2 #LI-Remote #LI-hybrid Location:USA - Remote - New YorkBrand:MerkleTime Type:Full timeContract Type:PermanentDentsu is committed to providing equal employment opportunities to all applicants and employees. We do this without regard to race, color, national origin, sex , sexual orientation, gender identity, age, pregnancy, childbirth or related medical conditions, ancestry, physical or mental disability, marital status, political affiliation, religious practices and observances, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. Dentsu is committed to providing reasonable accommodation to, among others, individuals with disabilities and disabled veterans. If you need an accommodation because of a disability to search and apply for a career opportunity with us, please send an e-mail to View email address on click.appcast.io by clicking on the link to let us  know the nature of your accommodation request and your contact information. We are here to support you.  SummaryLocation: USA - Remote - New YorkType: Full time