Defining critical data architectures and evaluating trade-offs to determine the optimal technology stack.
Establishing and promoting frameworks for data access, stewardship, and governance to improve transparency and accountability.
Taking ownership of critical issues, collaborating closely with teams and stakeholders to identify and implement the best solutions.
Acting as a trusted advisor to the entire data team, enhancing their productivity and effectiveness.
What skills do I need?
8-10+ years of proven experience in designing and managing scalable data architectures, particularly in enterprise environments.
Experience in defining and implementing various types of data architectures, analyzing trade-offs, and selecting technology stacks accordingly.
Extensive experience in building, maintaining, and optimizing data platforms, including data warehouse design, data modeling, monitoring, and operations.
Proficiency in open-source technologies such as Spark, MapReduce, Airflow, DBT, and Kafka.
Comfortable working in cloud environments, specifically AWS and GCP.
Expertise in data modeling, data lake/warehouse patterns, data pipelines, and data management technologies.
Ability to establish and promote frameworks for data access, stewardship, and governance to enhance transparency and accountability.
Strong stakeholder management skills, with the ability to balance delivery expectations and pressure control.
Skilled in managing risks and conflicts effectively, addressing challenges head-on.
Ability to influence others and advocate for technical excellence while remaining adaptable to change.
Self-sufficient and proactive, with a clear understanding of when to seek help.
