If you are a highly motivated and experienced Senior Data Lake Architect with a passion for data and a desire to work in a fast-paced and dynamic environment, we would love to hear from you
Job Title: Senior Data Lake Architect
Location: San Francisco, California, United States
Salary: $228000 - $256000
Job Type: Full-time
About the Role: We are seeking a highly experienced Senior Data Lake Architect to join our dynamic team. As a Senior Data Lake Architect, you will be responsible for designing and implementing data lake solutions and leading a team of data engineers. You will be a critical member of our data architecture team and will play a vital role in shaping our data strategy.
Key Responsibilities:
- Design and implement scalable and efficient data lake solutions that meet business requirements and adhere to industry best practices
- Lead a team of data engineers and provide technical guidance and mentorship to ensure the successful delivery of data lake projects
- Collaborate with cross-functional teams, including data scientists, business analysts, and developers, to understand data requirements and design data lake solutions accordingly
- Develop and maintain data lake architecture and standards, ensuring consistency across projects and adherence to data governance policies
- Perform data profiling, data quality checks, and data mapping to ensure data integrity and accuracy in the data lake
- Identify and address any performance issues in the data lake and make recommendations for optimization
- Stay updated with the latest data lake technologies and industry trends and continuously improve data lake processes and procedures
- Work closely with the security team to ensure data lake security and compliance with data privacy regulations
- Act as a subject matter expert on data lake architecture and provide technical guidance to stakeholders and project teams
- Lead the evaluation and selection of new data lake tools and technologies to enhance the data lake infrastructure
- Coach and mentor junior data engineers and promote a culture of continuous learning and development within the team
Qualifications:
- Bachelor's or Master's degree in Computer Science, Information Systems, or a related field
- Minimum of 8 years of experience in data engineering, data architecture, or a related role
- Extensive experience designing and implementing data lake solutions using technologies such as Hadoop, Spark, and AWS
- Proven experience leading a team of data engineers and delivering complex data lake projects
- Strong understanding of data lake architecture, data modeling, and data warehousing concepts
- Solid understanding of data integration, ETL/ELT processes, and data quality management
- Experience with data governance, data security, and data privacy regulations
- Strong analytical and problem-solving skills with the ability to translate business requirements into technical solutions
- Excellent communication and stakeholder management skills
- Experience with Agile methodologies and project management tools
- Relevant certifications (e.g., Cloudera Certified Data Engineer, AWS Certified Solutions Architect) are a plus.
Join our team and be a part of our mission to harness the power of data and drive business growth.