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Specialized data delivery role but senior requirement reduces applicant density.
Requires deep data platform and cloud experience, limiting cross-industry transferability.
Explicit 10+ years IT and specific data platform/cloud experience makes filters stringent.
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Lead end-to-end delivery of enterprise Data Engineering and Cloud Data Platform projects from initiation to production.
Manage cross-functional teams and ensure project delivery meets scope, quality, timelines, and budgets.
Collaborate with clients and stakeholders to translate business requirements into executable delivery plans and maintain strong client relationships through proactive communication.
10+ years of overall IT experience, with 3+ years managing software delivery projects.
Experience delivering Data Engineering, Data Platform, Analytics, Cloud, or AI/ML projects.
Strong understanding of modern data architectures (Data Warehousing, Data Lakes, Lakehouse) and exposure to cloud platforms such as AWS, Azure, or GCP.
Good understanding of Data Engineering technologies (e.g., Spark, PySpark, Kafka, Airflow, Data Factory, Glue, Snowflake, Redshift, Databricks) and strong knowledge of Agile delivery methodologies (Scrum, Kanban, SAFe).
Experienced in managing distributed, cross-functional engineering teams working on data-centric projects in cloud-native environments.
Skilled in stakeholder management with ability to balance technical and business priorities effectively.
Familiarity with Agile processes and mentoring teams, with a track record of improving delivery processes and driving business outcomes through data platform initiatives.