
Chief Data Solutions Architect
2 days ago
The successful candidate will drive the full lifecycle of data engineering solutions, from strategic design to hands-on implementation.
Responsibilities:- Design and develop robust, scalable, and secure architectures that meet business requirements.
- Implement data solutions on various cloud platforms.
- Define and enforce data governance, quality, and security standards.
- Collaborate with data engineers, scientists, and stakeholders to understand needs and translate them into technical solutions.
- Evaluate new technologies and tools to improve data infrastructure and practices.
- Create detailed documentation of architecture, flows, and processes.
- Provide leadership and mentorship to junior team members.
- Stay up-to-date with trends and best practices in data architecture and cloud computing.
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- 8-12 years of experience with 3+ years of experience in data architecture or similar role.
- Proven expertise in designing and implementing data solutions on at least one major cloud platform.
- Solid understanding of cloud-native data services such as AWS: Redshift, S3, Glue, Athena, EMR; Azure: Synapse Analytics, Data Lake, Data Factory, Databricks; GCP: BigQuery, Cloud Storage, Dataflow, Dataproc.
- Experience with big data technologies and data warehousing concepts.
- Strong knowledge of SQL, ETL/ELT processes, and data modeling techniques.
- Excellent problem-solving skills and ability to work independently and as part of a team.
- Strong communication and collaboration skills.
Preferred Skills:
- DevOps practices and tools.
- Data governance tools and practices.
- Certification in one or more cloud platforms.
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