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 - NDAPossibility 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 itemsLead the engineering team in backlog grooming and refinement meetings.Work with team to prioritize product and engineering backlog items in planning meetingsLead 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 SynapseExperience with Analytics Platforms and related technologies : Spark / Databricks, Apache Streaming, Delta Tables, and AirflowDegree or certifications required? :
Bachelor's degree in Computer Science or related fieldYears experience? :
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 managementExperience with data warehouse / lake house architectures and data modelingStrong problem-solving skillsStrong communication and leadership skillsStrong ability to drive engineering trade-off discussions with the goal of driving consensusExperience in Agile methodologies such as Scrum, specifically in the role of Scrum MasterNice-to-Haves :
Migration into the cloudScrum master certificationRequired 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
