Tech Lead
2 weeks ago
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
- Prod modernization - NDA
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.
- 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
- Bachelor's degree in Computer Science or related field
- 7+
- 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
- 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
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