Full Time

Principal Data Engineer (Technical Architect) || Remote || Full Time

Tanisha Systems, Inc
Remote!
$130,000 - $180,000* / year

Job Description

This job was posted over 30 days ago, so it has most likely closed. See newer jobs like it.

Written by AI from the job title and company, not by Tanisha Systems, Inc, so some details may not match this job. The employer's own page has the real description.

Job Overview


Tanisha Systems, Inc. is seeking a highly skilled Principal Data Engineer (Technical Architect) to join our dynamic team in a remote capacity. In this role, you will be responsible for designing and implementing robust data architectures that meet enterprise-level requirements. You will lead a team of data engineers, establish best practices, and ensure data integrity across various systems. Your expertise will be pivotal in migrating existing solutions to cutting-edge technologies, enabling data-driven decision-making within the organization.



Job Responsibilities

  • Design and implement scalable data architectures for various applications.
  • Lead the development of data pipelines and ETL processes to ensure efficient data flow.
  • Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
  • Establish data governance policies and procedures to maintain data quality and compliance standards.
  • Mentor and guide junior data engineers in best practices and technology usage.
  • Evaluate and integrate new data technologies and tools to enhance data processing capabilities.
  • Analyze data storage solutions and propose optimizations for performance and cost-effectiveness.
  • Manage data security and privacy initiatives in compliance with relevant regulations.


Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • Minimum of 8 years of experience in data engineering or a related technical role.
  • Extensive experience with data modeling, ETL processes, and data warehousing solutions.
  • Proficiency in programming languages such as Python, Java, or Scala.
  • Solid understanding of big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, Google Cloud).
  • Strong analytical and problem-solving skills.
  • Excellent communication and leadership abilities.
  • Experience with data governance and compliance frameworks.


Technologies & Tools


The Principal Data Engineer position at Tanisha Systems, Inc. will primarily involve the use of technologies and tools such as Apache Kafka, Apache Spark, Python, SQL databases, NoSQL databases, AWS (S3, Redshift, Glue), Azure Data Lake, and containerization tools such as Docker and Kubernetes. Familiarity with data visualization tools like Tableau or Looker is also beneficial. Continuous learning and adaptation to new technologies are expected in this rapidly evolving field.



Ideal Candidates


The ideal candidate for the Principal Data Engineer position should possess a strong blend of technical expertise and leadership qualities. They should have a proven track record of successfully implementing data solutions in complex environments and demonstrate a passion for innovation and technology. Exceptional communication skills, a collaborative mindset, and a proactive approach to problem-solving are essential. The ability to mentor and inspire team members while maintaining a hands-on approach to data architecture and engineering will be key to success in this role.

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