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Senior Manager, Data & Integrations

Posted 4 days agoViewed

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💎 Seniority level: Manager, 8+ years

📍 Location: United States, internationally

💸 Salary: 185000.0 - 210000.0 USD per year

🔍 Industry: Data & Integrations

🗣️ Languages: English

⏳ Experience: 8+ years

🪄 Skills: AWSLeadershipProject ManagementPythonSQLAgileCloud ComputingData AnalysisETLSnowflakeData engineeringCommunication SkillsMicrosoft ExcelRESTful APIsData visualizationTeam managementData modelingData analyticsData managementSaaS

Requirements:
  • 8+ years of experience in Data and related domains including big data pipelines, cloud data warehouses, SQL and NoSQL databases, data analysis and integrations.
  • 3+ years of experience recruiting and managing technical teams
  • Experience building and maintaining data catalogs and making data widely available
  • Experience collaborating with business partners to develop roadmaps and driving outcomes
  • Proficiency with one or more programming languages - Python/Scala/Java/Go.
  • Proficiency with SQL and experience with ETL and data modeling.
  • Experience working with and integrating with SaaS applications such as Salesforce, Marketo, Netsuite and Workday.
  • Experience in an agile development methodology
  • Bachelor's degree in Computer Science or equivalent experience.
Responsibilities:
  • Lead the overall data integration strategy, identifying key data sources and establishing data governance policies for data accuracy and consistency.
  • Collaborate with business functions across the enterprise to understand system capabilities and data needs, communicating integration plans and delivering data solutions.
  • Recruit and manage a team of data professionals (data engineers, integration specialists, etc.) to design, develop, and maintain data pipelines and a comprehensive data catalog.
  • Select and implement data integration tools to efficiently move data between systems.
  • Ensure data is user-friendly, performant, and accessible across the organization.
  • Ensure all data and pipelines adhere to data privacy regulations and security standards.
  • Transform raw data into models using dbt.
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