Senior Director of Data
J
JobgetherSecurity & IT
Remote/hybrid work flexibility within the United States.Full-TimeDirector
Salary not disclosed
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Job Details
- Experience
- 8+ years of experience in data engineering, data platforms, analytics engineering, or related fields, with at least 3+ years leading teams or large-scale programs.
- Required Skills
- PythonSQLMicrosoft Power BIData engineeringSparkDatabricks
Requirements
- 8+ years of experience in data engineering, data platforms, analytics engineering, or related fields.
- At least 3+ years leading teams or large-scale programs.
- Hands-on experience with modern data platforms, including Databricks, Delta Lake, Unity Catalog, Spark, SQL, and Python.
- Proven experience building and operating production-grade lakehouse or enterprise data platforms.
- Demonstrated ability to establish enterprise-wide data governance, quality programs, and scalable management practices.
- Experience with dimensional modeling, semantic layers, and BI solutions such as Power BI.
- Ability to manage vendors and delivery partners to drive execution.
- Strong leadership abilities with experience developing teams and managing priorities.
- Executive communication skills to translate technical concepts into business value.
- Bachelor’s degree in business, information systems, or data science (preferred) or equivalent experience.
Responsibilities
- Design, implement, and oversee a modern lakehouse data platform, including ingestion pipelines, transformation workflows, orchestration, and storage architecture.
- Establish data engineering best practices including version control, CI/CD, automated testing, and data quality frameworks.
- Lead the creation of trusted data models and deliver a certified semantic data layer for BI and analytics.
- Develop and implement data governance practices including access controls, ownership models, and business glossaries.
- Provide data foundations for AI initiatives, automation, and operational improvement projects.
- Partner with technology, finance, and operations teams to align data strategy with organizational priorities.
- Lead internal teams and external delivery partners to establish milestones and accountability.
- Build organizational capability through hiring, mentoring, and fostering a culture of continuous improvement.
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