Demo

Senior Data Architect - Adobe to Databricks

capgemini
capgemini Salary
Las Vegas, NV Full Time
POSTED ON 8/12/2026
AVAILABLE BEFORE 10/11/2026
  • We are seeking a senior data architect to guide the integration of an existing high-volume Adobe Analytics data into an enterprise Azure Databricks environment. The role will partner with and guide engineers, providing the Adobe expertise and architectural direction needed to process approximately 1–2 million records per day.

  • The candidate must possess sufficient functional knowledge of the business context of the tables and files within Adobe Analytics and be able to advise MGM business users on which data they should ingest and curate to achieve a desired analytics, reporting, or business outcome – this is the juncture where this requirement strays from purely technical knowledge.

  • This resource will not have a populated data governance tool such as Unity to fall back on to research these types of questions, they are expected to have that functional knowledge of Adobe Analytics along with the technical skills.

  • The ideal candidate has strong experience with Adobe Analytics data, Azure Databricks, Delta Lake, SQL Server, APIs, and streaming applications. This is primarily an architecture and technical leadership role, with the consultant defining the approach, documentation, and guardrails while coaching the client’s engineers through implementation.

Key responsibilities include:

  • Define ingestion patterns using Adobe data feeds, APIs, batch, and streaming methods

  • Guide the Databricks medallion architecture

  • Establish source-to-target mappings, customer identity rules, and data-quality controls

  • Provide guidance on schema design, incremental loads, historical processing, and monitoring

  • Translate marketing and customer analytics needs into technical requirements for engineering teams

Important to consider:

  • Recommended methods for extracting Adobe Analytics data into the Azure Databricks platform

  • How to deal with mapping files which are sent each time and the potential for schema changes / metadata drift

  • How to deal with effectively with massively high data volumes

  • How to ensure any ingestion method can be accurately and efficiently restarted if required without full reprocessing

  • Be able to clearly articulate challenges and remediation steps taken in this type of work


The pay range that the employer in good faith reasonably expects to pay for this position is $39.30/hour - $61.40/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.

Salary : $39 - $61

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