
High-Performing Data Architect Wanted
4 days ago
We are seeking a highly skilled and experienced data platform architect to join our team.
The ideal candidate will have a strong background in designing, deploying, and maintaining large-scale data platforms. They will be responsible for reviewing and analyzing existing data collection systems, identifying areas for improvement, and making recommendations to optimize their performance and efficiency.
The successful candidate will also supervise junior engineering teams, ensuring they align with business goals and objectives.
Collaboration with clients is crucial, as the individual will work closely with them to understand their data-related needs and deliver tailored solutions that meet their expectations.
Key Responsibilities:- Design, deploy, and maintain large-scale data platforms
- Review and analyze existing data collection systems
- Identify opportunities for improving data platform performance and efficiency
- Supervise junior engineering teams
- Collaborate with clients to understand their data-related needs
- Cloud platforms: AWS, Azure, Google Cloud Platform
- ETL processes: building and optimizing
- Data warehousing concepts and experience working with Amazon Redshift, Snowflake, Google BigQuery
- Python and advanced SQL
- Big data technologies: Apache Hadoop, Apache Spark, related tools
- Relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra)
The selected candidate will enjoy a range of benefits, including opportunities for professional growth and development, collaboration with experienced professionals, and the chance to work on challenging projects.
They will also receive competitive compensation and benefits packages.
Requirements:To be considered for this role, candidates must possess the following qualifications:
- Bachelor's degree in Computer Science or related field
- Minimum 5 years of experience in data engineering and architecture
- Strong knowledge of cloud platforms, ETL processes, and data warehousing concepts
- Proficiency in programming languages such as Python and SQL
- Experience working with big data technologies and relational databases
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