Head of Data Platform

Responsibilities: · Formulating the strategy and roadmap for the development of the data platform, synchronizing with CDO goals and company business priorities. · Designing and developing data architecture: data models, development standards and principles, reviewing architectural solutions, selecting tools and vendors, conducting PoCs and pilots. · Managing the BI layer on Power BI and Apache Superset: developing data marts, SLA for corporate reporting, supporting ~40,000 users, developing training and self-service practices, administering and customizing BI tools. · Ensuring operational reliability: monitoring, alerting, incident management, capacity planning, cost optimization (FinOps). Mandatory: · Experience in managing a data development/engineering team of 20+ people: hiring, development, performance management, process establishment. Experience managing group leaders (lead of leads) is a plus. · Deep knowledge of DWH and data lakes: ClickHouse, Greenplum, Spark, Trino, datalakehouse architecture, data storage formats and principles. · Hands-on experience building data pipelines: Airflow (or similar orchestrators), dbt, stream processing; understanding of data engineering quality principles (data testing, CI/CD, documentation). · Hands-on experience implementing data governance: data catalog, metadata, data quality, data lineage, data owner/data steward roles, competence centers.

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