Lead Data Engineer - Data Platform (REMOTE)

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 DICK'S Sporting Goods, so some details may not match this job. The employer's own page has the real description.

Job Overview

The Lead Data Engineer - Data Platform at DICK'S Sporting Goods will play a critical role in shaping and optimizing our data architecture and pipeline processes. This position will involve leading a team of data engineers to create robust data solutions that support various business needs, while ensuring data quality and accessibility. The ideal candidate will collaborate with cross-functional teams to design and implement data models, facilitate data governance, and drive innovation in data processing and analytics. This remote opportunity is designed for an experienced data professional ready to take on leadership responsibilities and influence best practices across the organization.

Job Responsibilities

• Design, develop, and maintain scalable data pipelines that support analytical and operational requirements.
• Lead and mentor a team of data engineers, promoting best practices in data engineering methodologies.
• Collaborate with data scientists, analysts, and stakeholders to define data requirements and execute data strategy.
• Implement data quality controls and data governance frameworks to ensure integrity and compliance.
• Evaluate and integrate new tools and technologies to enhance data processing capabilities.
• Monitor system performance, troubleshoot issues, and optimize data workflows for efficiency.
• Develop documentation and training materials for data systems and processes.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred.
• 7+ years of experience in data engineering, with at least 2 years in a leadership role.
• Proficient in programming languages such as Python, Java, or Scala.
• Strong knowledge of SQL and experience with relational and NoSQL databases.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with big data technologies including Hadoop, Spark, or Kafka.
• Excellent problem-solving, analytical, and communication skills.

Technologies & Tools

The Lead Data Engineer is expected to be well-versed in a multitude of technologies and tools that facilitate effective data management. This includes, but is not limited to, data warehousing solutions like Snowflake or Redshift, ETL tools such as Apache NiFi or Talend, and orchestration tools like Airflow. Familiarity with data visualization tools like Tableau or Power BI is advantageous, along with expertise in version control systems such as Git. Knowledge of machine learning frameworks can also be beneficial for advanced data processing tasks.

Ideal Candidates

The ideal candidates for this position possess not only significant technical expertise but also strong leadership qualities. They should be forward-thinking, innovative, and able to adapt quickly within a dynamic environment. Successful candidates are excellent communicators with the ability to convey complex technical concepts to non-technical stakeholders. They thrive on collaboration and are passionate about mentoring others, fostering an environment of growth and learning. A proactive mindset and a dedication to continuous improvement and data excellence will establish them as key contributors to our data platform initiatives.