Senior Data Architect

4 days ago

Remote, Oregon, United States Unreal Gigs Full time

At Unreal Gigs, we're pushing the boundaries of data-driven innovation. As a Senior Big Data Engineer, you'll play a pivotal role in designing, building, and maintaining our big data infrastructure and pipelines. Your expertise in big data technologies and passion for building robust data systems will drive transformative change across industries.

Key Responsibilities:

  1. Big Data Infrastructure Design: Design, architect, and implement scalable and efficient big data infrastructure, including data lakes, data warehouses, and streaming data platforms, leveraging technologies such as Hadoop, Spark, Kafka, and more.
  2. Data Pipeline Development: Develop, deploy, and manage data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data from diverse sources, ensuring reliability, scalability, and performance.
  3. Data Modeling: Design and implement data models and schemas to support analytical and operational requirements, ensuring data integrity, consistency, and performance in a distributed environment.
  4. Data Integration: Integrate data from disparate sources and systems, ensuring data consistency, quality, and completeness throughout the data lifecycle.
  5. Performance Optimization: Optimize data pipelines and queries for performance and efficiency, identifying and addressing bottlenecks and inefficiencies to improve system scalability and reliability.
  6. Monitoring and Alerting: Implement monitoring and alerting systems to track big data platform performance and health, detecting and mitigating issues proactively to minimize downtime and data loss.
  7. Security and Compliance: Implement security controls and data governance policies to ensure data security, privacy, and compliance with regulatory requirements.
  8. Documentation and Best Practices: Document big data infrastructure and pipelines, providing clear and comprehensive documentation to facilitate understanding and collaboration among team members.
  9. Collaboration: Collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders, to understand requirements and deliver big data solutions that meet business needs.
  10. Mentorship and Leadership: Mentor junior engineers, providing guidance, support, and technical leadership in big data engineering best practices and technologies.

Qualifications:

  • Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field.
  • 5+ years of experience in big data engineering, with a focus on designing, building, and maintaining big data infrastructure and pipelines.
  • Proficiency in programming languages such as Java, Scala, or Python, and experience with big data technologies such as Hadoop, Spark, Kafka, Hive, HBase, and more.
  • Strong understanding of distributed systems and parallel processing, with experience designing and optimizing data pipelines for performance and scalability.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, and familiarity with cloud-based big data services such as Amazon EMR, Azure HDInsight, or Google Dataproc.
  • Experience with SQL and NoSQL databases, data warehousing, and ETL/ELT processes.
  • Strong problem-solving skills and analytical thinking, with the ability to troubleshoot complex data issues and optimize system performance.
  • Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and communicate technical concepts to non-technical stakeholders.

Benefits:

  • Competitive salary: The industry standard salary for Senior Big Data Engineers typically ranges from $170,000 to $230,000 per year, depending on experience and qualifications.
  • Comprehensive health, dental, and vision insurance plans.
  • Flexible work hours and remote work options.
  • Generous vacation and paid time off.
  • Professional development opportunities, including access to training programs, conferences, and workshops.
  • State-of-the-art technology environment with access to cutting-edge tools and resources.
  • Vibrant and inclusive company culture with opportunities for growth and advancement.
  • Exciting projects with real-world impact at the forefront of big data innovation.

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