Key focus areas
Define data & analytics strategy and architecture
Create data pipelines, big data platforms and data integrations
Collaborate with other teams to plan and implement data strategies to enable company goals
Lead by example, drive a culture of ownership, innovation, and technical excellence.
This includes:
Influence and lead by example with a collaborative, trust-building attitude.
Develop policies, procedures, data models and architectures to collect, organize, store and access and
use data
Create data flows, ETL scripts, data transformation logics, and other data management jobs
Create the architectures, data warehouses and databases that support access and Advanced Analytics,
and bring them to life through modern visualization tools
Collaborate with engineers, data owners, architects, and other stakeholders to understand their current
use of data and identify opportunities
Be a leader in constructing and supporting data fabric/data mesh best practices
Lead, define and implement end-to-end modern data platforms in support of analytics ML and AI use
cases
Analyze multiple sources of structured and unstructured data to design data architecture solutions for
scalability, high availability, fault tolerance, and elasticity
Address aspects such as data governance privacy & security, data ingestion & processing, data storage &
compute, analytical & operational consumption, data modelling, data virtualization, self-service data
preparation & analytics, AI enablement and API integrations