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Data Systems Lead

Posted about 17 hours agoViewed

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💎 Seniority level: Lead, 7-10 years

📍 Location: CA, CO, ID, IL, FL, GA, MA, MI, MN, MO, NJ, NV, NY, PA, OR, TX, UT, WA

💸 Salary: 125000.0 - 170000.0 USD per year

🔍 Industry: Mobile industry

🏢 Company: Liftoff👥 501-1000💰 Private about 4 years agoAdvertising PlatformsBig DataMobile AdvertisingApp MarketingAd RetargetingMobileAd Network

⏳ Experience: 7-10 years

🪄 Skills: SQLETLMongoDBSnowflakeData visualizationData modeling

Requirements:
  • 7-10 years of experience in data architecture, database management, or data warehousing.
  • 3-5 years of leadership experience.
  • Bachelor’s degree (MBA/MIS preferred).
  • Expertise in SQL, data modeling, reporting, and ETL processes.
  • Knowledge of databases like Snowflake, Redis, MongoDB Atlas, and MemSQL.
  • Proven skills in data mapping, analysis, and quality management.
  • Solid proficiency in reporting tools, data visualization, and actionable analytics.
  • Familiarity with Salesforce dashboards and analytics apps preferred.
  • Remarkable analytical skills and the ability to translate data into meaningful insights.
  • Experience with data governance and performance measurement tools.
Responsibilities:
  • Develop and implement a MDM strategy to ensure data quality, integrity, and ownership organization-wide.
  • Design and manage a scalable data architecture framework to support data integration, storage, and reporting needs.
  • Create and uphold data governance policies and best practices across all business units.
  • Lead data cleanup, automation, and integration initiatives to optimize processes.
  • Oversee data quality management to ensure accurate reliable data for operations and decision-making.
  • Collaborate with business users and stakeholders to translate business requirements into functional and non-functional BI specifications.
  • Design and maintain data warehouses, marts, and analytical structures for reporting and BI applications.
  • Develop and enhance reporting tools and visualizations to drive business insights.
  • Maintain thorough documentation, including data dictionaries, processes, and project plans.
  • Stay ahead of industry trends to align data solutions with evolving business objectives.
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