Principal Data Operations Engineer (Remote from anywhere in Colorado).

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

Job Overview

The Principal Data Operations Engineer is a crucial role at the State of Colorado, responsible for designing, implementing, and optimizing data operations strategies that enhance data integrity, availability, and security across the organization. This position will lead initiatives related to data architecture, data governance, and data quality management, ensuring compliance with state and federal regulations. The successful candidate will collaborate with cross-functional teams to drive best practices in data management, while also mentoring junior engineers and promoting a culture of continuous improvement within the data operations team.

Job Responsibilities

• Design and implement robust data operation frameworks that ensure scalable and reliable data management practices.
• Oversee the development and execution of data quality metrics and standards to ensure data integrity across various platforms.
• Collaborate with IT and business stakeholders to define data governance policies and procedures.
• Conduct data analysis and profiling to identify and address data anomalies and quality issues.
• Lead projects related to data migration, integration, and transformation initiatives.
• Mentor and provide technical guidance to junior data engineers in best practices and methodologies.
• Research and adopt emerging data technologies and tools to enhance operational efficiency.
• Ensure compliance with data governance standards, regulations, and security protocols.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Information Technology, or a related field; Master's degree is preferred.
• Minimum 7 years of experience in data engineering, data operations, or a related field.
• Strong knowledge of data management best practices, including data governance, quality, and lifecycle management.
• Proficiency in programming languages such as SQL, Python, or R.
• Experience with data warehousing solutions, data lakes, and ETL processes.
• Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and data analytics tools.
• Excellent analytical and problem-solving skills, with a strong attention to detail.

Technologies & Tools

The Principal Data Operations Engineer will utilize a variety of technologies and tools including, but not limited to, SQL databases, ETL tools (such as Talend or Informatica), data warehousing solutions (like Snowflake or Redshift), and programming languages such as Python or R for data manipulation and analysis. Familiarity with data visualization tools (e.g., Tableau or Power BI) and cloud platforms (AWS, Azure, or Google Cloud) is also essential to effectively manage and present data insights.

Ideal Candidates

The ideal candidate for the Principal Data Operations Engineer role possesses a blend of strong technical skills and leadership qualities. They should be innovative thinkers, capable of proactively identifying data management improvements and solutions. An effective communicator, the candidate will collaborate seamlessly with stakeholders across all levels of the organization. Furthermore, they should demonstrate a commitment to fostering a collaborative team environment, promoting learning and growth among peers, and are passionate about leveraging data to drive informed decision-making.