Lead Data Lake Architect

If you are a passionate and driven individual with a strong background in data lake architecture and a desire to lead and innovate, we want to hear from you! Join our team and take the lead in shaping our data lake infrastructure to support our company's growth and success.

Job Title: Lead Data Lake Architect

Location: New York, New York, United States

Salary: $247000 - $288000

About the Role: We are seeking a highly skilled and experienced Lead Data Lake Architect to join our dynamic team. As the Lead Data Lake Architect, you will play a pivotal role in designing, building, and managing our data lake infrastructure. You will be responsible for developing and implementing data lake solutions that will enable our company to effectively store, process, and analyze large volumes of data.

Key Responsibilities:

• Lead the design and development of our data lake architecture, including data ingestion, storage, processing, and access layers.
• Collaborate with cross-functional teams to understand data requirements and develop data lake solutions that meet business needs.
• Develop and implement data governance policies and procedures to ensure data quality, security, and compliance.
• Monitor and optimize data lake performance, identifying and resolving any issues that may arise.
• Stay up-to-date with industry trends and advancements in data lake technologies, identifying opportunities for improvement and innovation.
• Manage a team of data lake engineers, providing guidance, mentorship, and support to ensure project success.
• Collaborate with data scientists, analysts, and other stakeholders to understand their data needs and provide them with timely access to the data they require.
• Develop and maintain data lake documentation, including data dictionaries, data flow diagrams, and technical specifications.
• Communicate complex technical concepts and solutions to non-technical stakeholders, ensuring a thorough understanding of the data lake architecture and its capabilities.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
• Minimum of years of experience in data lake architecture and design.
• Extensive knowledge of data lake technologies such as Hadoop, Spark, and Hive.
• Strong understanding of data warehousing concepts, ETL processes, and data modeling.
• Experience with cloud-based data lake solutions, preferably AWS or Azure.
• Experience with data governance, security, and compliance.
• Proven leadership skills, with experience managing and mentoring a team.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
• Strong problem-solving and analytical skills, with the ability to think creatively and strategically.
• Knowledge of programming languages such as Python, Java, or Scala is a plus.
• Relevant certifications in data management and cloud computing are highly desirable.