Tech Lead - Data Engineering

Location: Hybrid 2-3 days at the Starbucks Seattle SSC

Duration: 10 months

Job Description:

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.

Team culture/work environment:

• Agile/Scum based
• Highly collaborative
• Start up mentality

Key projects:

• Prod modernization - NDA

Possibility for Extension or conversion: yes to both

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.
  

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

Degree or certifications required?:

• Bachelor's degree in Computer Science or related field

Years experience?:

• 7+

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

Nice-to-Haves:

• Migration into the cloud
• Scrum master certification
  

Required Skills :
Basic Qualification :
Additional Skills :
Background Check :Yes
Notes :
Selling points for candidate :
Project Verification Info :
Candidate must be your W2 Employee :Yes
Exclusive to Apex :No
Face to face interview required :No
Candidate must be local :No
Candidate must be authorized to work without sponsorship ::No
Interview times set : :No
Type of project :Development/Engineering
Master Job Title :Dev: Other
Branch Code :Seattle