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Cloud data platform team is part of Data Foundations program responsible for building Cloud based datalake and data warehouse solution. Team is responsible for designing and building various reusable assets for data teams to build datalake and artefacts within data warehouse. As a Cloud platform Dataops lead, you will be responsible for building DevOps capabilities for feature teams who are building data assets for various business units. Role involves engaging with various technology, security, architecture teams, building reusable patterns for further downstream consumption and automation in deployment pipelines across technologies. Role involves mentoring and guiding development community on coding best practices, building devops pipeline, finops management.
Job Responsibility:
Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data
Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures
Development of processing and analysis algorithms fit for the intended data complexity and volumes
Collaboration with data scientist to build and deploy machine learning models
Requirements:
Expert understanding of data lake and warehouse
Broad knowledge of public cloud services
DevOps Pipeline
Good understanding of data governance methodologies
Strong written and verbal communication skills demonstrating a collaborative approach across a range of stakeholders, including senior colleagues
Proven team player, supporting colleagues to achieve team objectives
Critical thinking
Nice to have:
AWS public cloud platform
Latest data management tools like Alation, Databricks, DBT, Snowflake