Data Strategy and Analytics, Principal Data Engineer

At Aerospike, we dream big and deliver even bigger. Our mission is to unleash the power of the world’s real-time data with a database built for infinite scale, speed, and sustainability.

We empower companies to tackle seemingly insurmountable challenges and achieve what’s never been done before. That’s why we developed the world’s leading real-time database—powering mission-critical applications for the most innovative, category-disrupting organizations.

Aerospike enables extreme-scale, real-time applications that:

• Fight fraud in microseconds.
• Drive dramatic increases in shopping cart size.
• Power global digital payments.
• Deliver hyper-personalized user experiences to tens of millions.

Industry leaders like Airtel, Experian, Nielsen, PayPal, Snap, Verizon Media, and Wayfair trust Aerospike as the foundation for their future. They rely on us to act in the moments that matter.

Headquartered in Mountain View, California, with offices in London, Bangalore, and Tel Aviv, Aerospike is the uncontested leader in next-generation, always-on, hyperscale data solutions. Unlike legacy NoSQL systems, our patented Hybrid Memory Architecture unlocks today’s hardware to deliver unimaginable performance and value for the most demanding data workloads—from the edge, to the core, to the cloud.

If you're ready to shape the future of data, join us.

We are seeking a talented and versatile professional to lead the development of our data infrastructure, strategy, and analytics capabilities, driving data-informed decision-making across the organization. As the company’s first Data Engineer, you will have a unique opportunity to establish and shape the Data Strategy & Analytics function, building from the ground up to support the company’s growth and global operations. 

Responsibilities:

• Data Strategy Development: Define and implement a data strategy that aligns with business objectives, ensuring data initiatives support organizational goals.
• Data Architecture Design: Create and manage the company’s data architecture, including data models, database structures, and data flow diagrams, to ensure efficient data management and accessibility.
• Data Integration and Pipeline Construction: Develop and maintain robust data pipelines to extract, transform, and load (ETL) data from various sources into centralized repositories, ensuring seamless data flow and integration.
• Data Governance Implementation: Establish and enforce data governance practices to ensure data quality, security, and compliance with relevant regulations.
• Business Intelligence and Reporting: Develop and maintain BI solutions, including dashboards and reports, to present insights to stakeholders and support data-driven decision-making.
• Collaboration: Work closely with cross-functional teams, including product, marketing, and finance, to understand data needs and deliver actionable insights.
• Data Quality Assurance: Monitor and optimize data systems to ensure performance, scalability, and integrity, maintaining high standards of data quality and reliability.

Qualifications:

• Experience: 5-7 years in data architecture, data engineering, business intelligence, or a related field, with a proven track record of designing and implementing data infrastructures and analytics solutions.
• Technical Skills: Experience with data warehousing solutions such as Snowflake, AWS Redshift, or Google BigQuery. Familiarity with ETL tools and programming languages like Python.
• Data Modeling and Design: Strong understanding of data modeling techniques and methodologies, with experience in designing and implementing database models and schemas.
• Analytical Skills: Ability to analyze complex datasets and translate findings into actionable business insights.
• BI Tools: Experience with BI and data visualization tools such as Tableau, Power BI, or Looker.
• Data Governance Knowledge: Understanding of data governance practices, data security standards, and compliance requirements.
• Communication Skills: Excellent verbal and written communication skills, with the ability to convey technical concepts to non-technical stakeholders.
• Education: Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.

Preferred Qualifications:

• Experience in a startup environment, demonstrating adaptability and a proactive approach to problem-solving.
• Familiarity with cloud platforms like AWS, GCP, or Azure.
• Certifications in data architecture, data engineering, or business intelligence tools.

  Aerospike is an Equal Opportunity Employer. We are committed to providing an environment free from discrimination on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.

  Join us at Aerospike and be part of a dynamic team that is shaping the future of data management. Salary Range for California Based Applicants: [$200,000 - $275,000] (actual compensation will be determined based on experience, location, and other factors permitted by law).