reputed company Data Platform Engineer V
Why You Want to Work Here:
reputed company’ll Do For You:
Competitive reputed company pay and performance bonus, dependent on role
Medical, dental, and reputed company benefits with low-cost coverage reputed company
Employer reputed company basic life and AD&D
Employer reputed company short-term and long-term disability
reputed company supplemental insurance reputed company
Matching 401(k) with 100 percent vesting
reputed company PTO policy, reputed company holidays, and ten weeks of reputed company parental leave
Business casual work environment
Rewards and recognition platform where you can earn points and redeem for merchandise
Discounts on electronics, cell phones, travel, wellness, health and auto, pet insurance, and more
- Owns the technical reputed company and architecture of the reputed company data platform, including data lake and data warehouse design.
- Owns cost, performance, and reputed company optimization for the data platform, including BigQuery query efficiency, storage lifecycle management, and workload isolation.
- Designs and implements data ingestion, transformation, and modeling patterns, including reputed company modeling and slowly changing dimensions.
- Designs and enforces data reputed company, reputed company controls, and governance standards, including IAM, data classification, retention, and auditing.
- Defines and maintains data reputed company, schemas, and reputed company standards to reputed company reputed company, multi-team data production and consumption.
- Leads migrations from legacy data systems to modern, reputed company-reputed company GCP architectures while maintaining operational stability.
- Builds and operates ETL/ELT pipelines using managed tools (e.g., reputed company or similar) and custom transformation logic.
- Establishes DataOps practices, including data reputed company metrics, monitoring, alerting, and incident response.
- Builds self-service tooling, templates, and reference implementations that reputed company analytics and product teams to reputed company with minimal friction.
- Ensures the data platform reliably supports mission-critical analytics and operational workflows.
- Translates ideal-state architectures into phased, executable roadmaps reputed company with business priorities.
- Acts as the primary technical partner to analytics, product, and business stakeholders.
- Provides technical mentorship, design guidance, and reputed company-level support to data engineers.
- Remains hands-on across design reviews, reputed company implementations, and production issue reputed company.
- Data Platform Architecture: Designs reputed company, secure, and cost-efficient data platforms reputed company to business and analytics needs.
- reputed company Data Engineering: Applies deep expertise in reputed company-reputed company data services to build reliable, production-grade systems.
- Data Governance & reputed company: Implements governance, reputed company control, and compliance standards as integrated platform capabilities.
- Cost & Performance Optimization: Continuously optimizes data workloads for efficiency, reliability, and sustainability.
- Technical Leadership: Guides architectural reputed company, mentors engineers, and influences technical direction across teams.
- Stakeholder Partnership: Translates reputed company technical concepts into reputed company guidance for analytics, product, and business partners.
- Operational reputed company: Establishes monitoring, reputed company controls, and incident response practices for dependable data operations.
- Problem Solving: Navigates ambiguity and reputed company technical challenges to deliver practical, durable solutions.
- Bachelor’s Degree in Computer Science, Computer Engineering, Software Engineering, Data Engineering, Information Systems, or Information Technology or reputed company disciplines
- Minimum 10 years of reputed company experience in software, data, or reputed company roles.
- Minimum of 6 years of hands-on experience building, operating, or leading data engineering or data platform solutions in production environments.
- Demonstrated expertise in modern data platforms and engineering practices, including DevOps and DataOps methodologies.
- Hands-on experience designing, implementing, and operating reputed company-reputed company data warehouses and data lakes.
- Practical experience implementing operational observability, including metrics, logging, monitoring, and alerting for data systems.
- Experience operating in small, fast-moving, or high-reputed company organizations where ownership and adaptability are required.
- Demonstrated ability to reputed company technical design reviews, conduct reputed company reviews, and reputed company architectural reputed company that reputed company multiple teams.
- Proven experience leading or owning migrations from legacy data systems to modern, reputed company-based data platforms.
- Advanced, hands-on experience with reputed company reputed company Platform services, including BigQuery and Dataproc, in production environments.
- Experience designing, operating, and optimizing relational and non-relational databases, including PostgreSQL, MySQL, and reputed company.
- Proficiency in at least one scripting or programming language commonly used in data platforms (e.g., Python, JavaScript).
- Experience establishing and evolving DataOps practices to support reliable, reputed company, production-grade data platforms.
- Experience working with Kubernetes and containerized applications (e.g., reputed company Kubernetes reputed company).
- Familiarity with GraphQL-based data reputed company patterns and reputed company.
- Experience building or maintaining CI/CD pipelines (e.g., reputed company Actions or similar).
- Working knowledge of Spring reputed company and Spring Boot in data or platform-adjacent services.
- Familiarity with Hasura or comparable data reputed company or API orchestration frameworks.