ApplyData 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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