Open Jobs

  • Share this Job

Data Engineering Architect (Prod Modernization Project; Migrating Big Data to Cloud; Not Dev/Strategic Role)

Location : Seattle WA
Job Type : Temp/Contract
Reference Code : Starbucks

Job Description :
Required Qualifications :

Client: AES Group

End Client: Starbucks


Job Title: Data Engineering Architect (Prod Modernization Project; Migrating Big Data to Cloud; Not Dev/Strategic Role)

Duration: 12+ months (Extension possible)

Location: Hybrid (2 to 3 days on site; Local to Seattle)

Rate: Experience dependent


As a Software Engineer Tech Lead, you will be responsible for leading a team of software engineers in an initiative to migrate an on-premises large-scale data warehouse and associated data pipelines to Azure.  You will have core competencies in the big data analytics platforms including Spark/ Databricks as well as Data Warehouse/Data Lakehouse architectures. You will also have very strong project management skills, specifically using Agile Methodologies such as Scrum/ Kanban/ Lean. 


Tops 3 Skills Needed



Experience in big data platforms

10+ years


Agile / Scrum

10+ years



Experience uplifting/migrating big data to the cloud

10+ years


Years of Experience:

  • 10+ years 


Degree or certifications required:

  • Bachelor’s degree in Computer Science or related field


Required Background/ skills:

  • Experience leading a team of software engineers in large-scale data warehouse and data pipelines migration. 

  • Experience designing and implementing data pipelines and workflow management 

  • Experience with data warehouse/ lake house architectures and data modeling 

  • Strong problem-solving skills 

  • Strong communication and leadership skills 

  • Strong ability to drive engineering trade-off discussions with the goal of driving consensus 

  • Experience in Agile methodologies such as Scrum, specifically in the role of Scrum Master 


Technology requirements:

  • Experience with Azure Cloud Analytics Platforms including PaaS and IaaS services: Azure Data Lake Storage, Azure Data Factory, Kafka, Azure Synapse  

  • Experience with Analytics Platforms and related technologies: Spark/Databricks, Apache Streaming, Delta Tables, and Airflow 


Daily Responsibilities:

  • Lead a team of software engineers in the migration of a large-scale data warehouse and associated data pipelines.

  • Ability to have trade-off discussions, with engineering team, around data pipeline design with the goal of driving consensus on approach.

  • Attend cross-functional meetings with project Technical Product Manager (TPM).

  • Work with the TPM to translate requirements into backlog items 

  • Lead the engineering team in backlog grooming and refinement meetings.

  • Work with team to prioritize product and engineering backlog items in planning meetings

  • Lead daily stand-up meetings and drive action items and ownership around blocking items.

  • Communicate schedule/project timeline status to engineering manager and TPM, highlighting key trade-off discussions.

  • Mentor junior engineers and help them to grow their skills in story creation, decomposition, and estimation.


Key projects:

  • Prod modernization – NDA



  • Migration into the cloud

  • Scrum master certification


Dis qualifiers:

  • This assignment is not for strong hands on engineering, this would be closer to driving project management. Not looking for someone who is wanting to do the engineering need to lead the projects.

Powered by AkkenCloud

Akken Copyrights 1999- All Rights Reserved