Lead Data Engineer

Are you ready to shape the future of data infrastructure at one of America's most trusted media companies? The OpenKyber is seeking a strategic and innovative Senior Manager, Data Platforms to design, create, and manage our data infrastructure. This remote role offers the opportunity to establish a solid foundation for data management across our organization, ensuring that data is organized, accessible, secure, and aligned with business objectives. WHAT YOU'LL DO:

Interpret and deliver impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps.
Design the structure and layout of data systems, including databases, warehouses, and lakes.
Partner with data architecture to design systems that meet the organization's needs by defining data schemas, optimizing data storage, and establishing data access controls and security measures.
Define and implement the long-term technology strategy and innovations roadmaps across analytics, data engineering, and data platforms.
Design and implement processes for the ETL process from various sources into the organization's data systems.
Translate high-level business requirements into data models and appropriate metadata, test data, and data quality standards.
Manage senior business stakeholders to secure strong engagement and ensure that the delivery of the project aligns with longer-term strategic roadmaps.
Simplify the existing data architecture, delivering reusable services and cost-saving opportunities in line with the policies and standards of the company.
Lead and participate in the peer review and quality assurance of project architectural artifacts across the EA group through governance forums.
Define and manage standards, guidelines, and processes to ensure data quality.
Work with IT teams, business analysts, and data analytics teams to understand data consumers' needs and develop solutions.
Evaluate and recommend emerging technologies for data management, storage, and analytics.

Bachelor's degree in computer science, Management Information Systems (MIS) or related degree preferred; or equivalent work experience
Generally, 7+ years of experience in data modeling, database design, or related field
Hands-on relational, dimensional, and analytical project experience using RDBMS, NoSQL data platform technologies, and ETL

Strong ability in programming languages such as Java, Python, and C/C++
Ability in data science languages/tools such as SQL, R, SAS, or Excel
Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, Google Cloud Platform), real-time data distribution (Kafka, Dataflow), and modern data warehouse tools (Snowflake, Databricks)
Experience with database technologies
Understanding of entity-relationship modeling, metadata systems, and data quality tools and techniques
Ability to think strategically and relate architectural decisions and recommendations to business needs and client culture
Ability to assess traditional and modern data architecture components based on business needs
Experience with business intelligence tools and technologies such as ETL, Power BI, and Tableau
Ability to regularly learn and adopt new technology, especially in the ML/AI realm
Strong analytical and problem-solving skills
Ability to synthesize and clearly communicate large volumes of complex information to senior management of various technical understandings
Ability to collaborate and excel in complex, cross-functional teams involving data scientists, business analysts, and stakeholders
Ability to guide solution design and architecture to meet business needs

For applications and inquiries, contact:View email address on us.fitly.work