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Tier-1 employer, metro location, and a broadly-titled senior engineering role increase competition.
Modern data-platform skills are transferable, though Azure Synapse and banking context increase domain specificity.
Role mandates deep modern data-stack, Azure cloud, Spark and orchestration expertise, enforcing strict technical filters.
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Develop and maintain software solutions across the system lifecycle within a permanent feature team focusing on data platform aspects spanning business, applications, data, and infrastructure.
Collaborate with principal engineers, architects, and key stakeholders to align platform functionality with business objectives.
Lead software development applying Agile methods, deliver resilient software with intentional architecture, automate build/test/deployment processes, and mentor team members on engineering best practices.
Strong full stack software design and implementation experience.
Expertise in modern data stack including advanced SQL, data modelling, Python pipelines, Airflow, and dbt.
Proficiency with Azure cloud-native data platform services such as Synapse, Azure Data Factory, and AKS.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in delivering scalable batch and streaming data solutions using distributed processing frameworks like Spark and PySpark.
Demonstrates leadership in engineering best practices focused on scalability, automation, virtualization, optimization, availability, and performance.
Comfortable managing diverse stakeholders and communicating complex technical concepts clearly to varied audiences.