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