Key Responsibilities:

Lead the design and development of our data architecture, including data pipelines, data warehouses, and data lakes
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
Evaluate and select appropriate data tools and technologies to support our data architecture
Develop and maintain data governance and data management processes to ensure data quality and security
Lead a team of data engineers, providing mentorship, guidance, and technical expertise
Stay updated with industry trends and advancements in data engineering, and recommend innovative solutions to improve our data infrastructure
Work closely with data scientists and analysts to implement data models and algorithms that drive business insights
Develop and maintain data documentation and data dictionaries for all data assets
Identify and troubleshoot complex data issues and provide timely resolutions
Collaborate with stakeholders to prioritize and manage data engineering projects and deliverables

Qualifications:

Bachelor's or Master's degree in Computer Science, Data Science, or a related field
Minimum of 7 years of experience in data engineering, with at least 3 years in a lead or architect role
Strong knowledge of data warehousing, data modeling, and data integration techniques
Experience with a variety of data tools and technologies such as SQL, Python, Hadoop, Spark, and ETL tools
Solid understanding of data governance, data security, and data privacy principles
Excellent leadership and team management skills
Strong analytical and problem-solving skills
Proven track record of delivering complex data engineering projects on time and within budget
Excellent communication and collaboration skills
Ability to work in a fast-paced and dynamic environment

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