Adobe · adobe.wd5.myworkdayjobs.com · checked today
Senior Data Architect
As a Senior Customer Experience Orchestration Data Architect at Adobe, you will lead the development of advanced, secure data solutions for our innovative digital marketing platforms. We craft data strategy, architecture, SQL and governance for customer solutions, including end-to-end profiles, segmentation, journeys, and campaigns! Provide deep experience to build data solutions across multiple Adobe products and cloud platforms aligned with enterprise data strategy.
Skills, with evidence
- Data modelling
Lead and develop conceptual, logical, and physical data models for multi-solution delivery.
must have - Data quality
Establish frameworks for data quality, define standards, master data management, data services, data governance, data modeling, tools, data security, privacy, and compliance with industry regulations.
must have - SQL
10+ years of data architecture, modeling, SQL, and working with customers!
must have - Governance & security
Establish frameworks for data quality, define standards, master data management, data services, data governance, data modeling, tools, data security, privacy, and compliance with industry regulations.
must have · not practised here - Python
Experience with programming languages (e.g., Python or Bash scripting)
- Streaming
We deliver Adobe platform data lake and real-time customer profile to get ready for data ingestion and activation.
- Warehousing
We deliver Adobe platform data lake and real-time customer profile to get ready for data ingestion and activation.
- Airflow / orchestration
As a Senior Customer Experience Orchestration Data Architect at Adobe, you will lead the development of advanced, secure data solutions for our innovative digital marketing platforms.
- Cost & performance
Our compensation reflects the cost of labor across several U.S.
Your plan
- The SQL screen: correct, then fast≈ 2 h
Data quality · SQL
- Airbnb: converting on a day with no published rateAdvanced
- Amazon: net revenue across two fan-outsAdvanced
- Build a percentile tableAdvanced
- Duplicate snapshot keysAdvanced
- Flag outlier ordersAdvanced
- Python: the data-wrangling round≈ 4 h
Python
- Data modelling: the round most people fail≈ 4 h
Data modelling · Warehousing
- Pipeline design: safe to run twice≈ 4 h
Streaming · Airflow / orchestration
- Spark: read the plan Spark actually ran≈ 2 h
Cost & performance
- applyInPandas per country: what Spark ships to Python, and the native rewriteAdvanced
- Filters you wrote in the wrong place: where Catalyst moves themAdvanced
- snappy, gzip or zstd: measure the Parquet codec trade-off yourselfAdvanced
- Find the four suspects in a slow pipeline (one of them is innocent)Advanced
- A filter after a window function: pushed down or not?Advanced
- Say it out loud≈ 1 h
Not covered by the plan: Governance & security.
Readiness
Counted from drills you have completed anywhere on D8LooP.
leaves in 10 dremoved the moment Adobe closes it