Lead Data Platform Engineer, United States (Remote)

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Position Overview

The Lead Data Platform Engineer at Stanley Black & Decker, Inc. will be responsible for designing, developing, and managing data platforms that enhance data integration, processing, and analytics capabilities across the organization. This role requires a strategic thinker who can lead a team in implementing solutions that meet organizational needs while ensuring data quality, security, and performance. The ideal candidate will collaborate closely with cross-functional teams to drive data-driven decision-making processes and enable better business outcomes through effective data management practices.

Job Responsibilities

• Lead the design and execution of data platform architecture to support advanced analytics and machine learning initiatives.
• Oversee the development, testing, and deployment of data pipelines and ETL processes ensuring high data quality and performance.
• Collaborate with data scientists, analysts, and stakeholders to identify data requirements and implement solutions that drive insights.
• Ensure that data governance, security, and compliance measures are implemented in alignment with industry best practices.
• Mentor and guide a team of data engineers, providing technical direction and fostering a culture of innovation and excellence.
• Monitor and optimize data platform performance, reliability, and scalability to meet business needs.
• Stay updated with emerging technologies and trends in data engineering and analytics, recommending enhancements as appropriate.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field; Master’s degree preferred.
• A minimum of 5 years of experience in data engineering, with a focus on data integration and platform development.
• Proficiency in programming languages such as Python, Java, or Scala.
• Strong experience with databases (e.g., SQL, NoSQL), data warehousing, and cloud platforms (AWS, Azure, GCP).
• Familiarity with data modeling, ETL tools, and big data technologies (e.g., Hadoop, Spark).
• Excellent analytical, problem-solving, and troubleshooting skills.
• Strong interpersonal and communication skills, with the ability to collaborate effectively across diverse teams.

Technologies & Tools

The Lead Data Platform Engineer will work with a variety of technologies and tools related to data engineering and analytics. This includes, but is not limited to, cloud-based platforms such as AWS and Azure, data processing and ETL tools like Apache Spark and Talend, as well as database management systems such as MySQL, PostgreSQL, and MongoDB. Familiarity with data visualization tools and practices will also be important to ensure effective data presentation and reporting.

Ideal Candidates

Ideal candidates for the Lead Data Platform Engineer position should possess a strong combination of technical expertise and leadership abilities. They should be proactive problem-solvers with a passion for data and analytics, capable of adapting to evolving technologies and business needs. A strong track record of mentoring and guiding teams, excellent communication skills, and the ability to work collaboratively in a fast-paced, dynamic environment are critical. Additionally, candidates should exhibit a strong commitment to innovation and helping shape the data strategy for the organization.