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OZ Digital

Independent publisher trading desk optimizing revenue

Principal Consultant - Databricks

Data EngineeringPosted on Nov 6
Full-timeRemote in USANo salary listed

About the Job

Requirements

  • At least 10 years of experience in enterprise data and analytics consulting, including at least 5 years architecting and delivering production Databricks or Lakehouse solutions, at least 3 years in senior technical leadership, solution architecture, or principal-level consulting roles, and at least 3 years in an insurance firm in a consulting capacity.
  • Demonstrated experience serving as the senior technical authority for complex enterprise data-platform engagements, with accountability from discovery through production delivery.
  • Deep Azure Databricks expertise across platform architecture, data engineering, Unity Catalog governance, operationalization, performance, and cost management.
  • Strong command of Apache Spark, PySpark, Python, SQL, Delta Lake, batch and streaming patterns, ETL/ELT, data modeling, data quality, performance tuning, and production troubleshooting.
  • Working knowledge of Microsoft Entra ID, Azure networking and private connectivity, ADLS, secrets and key management, monitoring, and related Azure data services.
  • Experience with Git-based development, automated testing, CI/CD, environment promotion, infrastructure as code, deployment automation, observability, runbooks, and support models.
  • Strong consulting and business acumen, including connecting architecture decisions to customer outcomes, delivery risk, scope, margin, adoption, and platform consumption.
  • Executive-level written, verbal, facilitation, and presentation skills, with technical depth to engage architects and engineers.
  • Experience in discovery, estimation, staffing, proposal or statement-of-work development, technical pre-sales, delivery leadership, and multidisciplinary team guidance.
  • Self-directed, collaborative leadership with sound judgment, resilience, empathy, and ability to create structure in ambiguous situations.

Responsibilities

  • Define target-state architecture, principles, standards, and roadmaps for complex Azure Databricks engagements.
  • Lead discovery and architecture workshops, translating business priorities, security needs, operational constraints, and success measures into actionable solution designs.
  • Architect secure and scalable enterprise Lakehouse solutions spanning ingestion, storage, transformation, orchestration, analytics, data sharing, and AI/ML enablement.
  • Define engineering, governance, identity, networking, CI/CD, observability, reliability, performance, and cost-optimization practices.
  • Review critical implementation artifacts, identify risks early, guide technical decisions, and maintain alignment between sold and delivered solutions.
  • Contribute to qualification, solution shaping, estimates, staffing plans, proposals, statements of work, demonstrations, and executive presentations.
  • Develop reference architectures, accelerators, assessment methods, estimation models, delivery playbooks, and thought leadership.
  • Guide architects, engineers, and consultants while partnering with Databricks, Microsoft, customer stakeholders, sales teams, and internal practices.

Desired Qualifications

  • Databricks Certified Data Engineer Professional certification is strongly preferred.
  • Azure Platform Architect Badge and/or Databricks Data + AI Platform Administrator accreditation is preferred.
  • Databricks Partner Champion or Delivery Expert recognition, partner or Center of Excellence leadership, co-sell experience, or experience in regulated and security-sensitive industries is preferred.
  • Candidates without an appropriate Databricks credential must be willing to complete an OZ-approved, role-aligned certification or accreditation path after joining.
  • Databricks Certified Generative AI Engineer Associate or Machine Learning Professional certification is a plus.
  • Experience with large-scale platform modernization, cloud transformation, data-warehouse migration, or consolidation involving Databricks is preferred.
  • Experience creating reusable offerings, accelerators, reference architectures, assessment frameworks, delivery playbooks, or intellectual property is preferred.
  • Experience overseeing production analytics, machine-learning, or AI workloads beyond proof-of-concept delivery is preferred.
  • Exposure to MLflow, model serving, Power BI, Microsoft Fabric, Azure Data Factory, and Microsoft Purview is preferred.

About the Company

OZ Digital

Independent publisher trading desk optimizing revenue

OZ Digital, via its Zodiak Advertising arm, operates as a publisher trading desk that helps publishers grow and protect ad revenue from programmatic inventory. It connects publishers with demand partners, runs private and fixed-price marketplaces, and optimizes yield across desktop and mobile inventory. The platform sets floor prices, manages supply, and analyzes performance to maximize value through RTB and private marketplaces, with transparent and safe controls. Its goal is to tailor technology and expert support to each publisher, backed by a network of 600+ publisher and media-owner partners, so organizations can build, grow, and control their media inventory.

Company size
1-10
Company stage
Not listed
Total funding
Not listed
Headquarters
Milan, Italy
Founded
1899

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