
Highly Experienced Senior Data Architect
4 days ago
Job Title:
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- Dynamic Data Architect Lead
About the Role:
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- We seek an experienced and dynamic data leader to drive full-lifecycle data engineering solutions from strategic design to hands-on implementation.">
Key Responsibilities:
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- Design and develop robust, scalable, and secure data architectures that meet business requirements.">
- Lead the implementation of data solutions on various cloud platforms (AWS, Azure, GCP).">
- 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 and maintain detailed documentation of data architecture, data 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.">
Qualifications:
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- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.">
- Overall 8-12 years of experience with 3+ years of experience in data architecture or a similar role.">
- Proven expertise in designing and implementing data solutions on at least one major cloud platform (AWS, Azure, GCP).">
- 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 (e.g., Spark, Hadoop) and data warehousing concepts.">
- Strong knowledge of SQL, ETL/ELT processes, and data modeling techniques.">
- Excellent problem-solving skills and ability to work independently as well as part of a team.">
- Strong communication and collaboration skills.">
Preferred Skills:
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- Experience with DevOps practices and tools (e.g., CI/CD pipelines, Terraform, Docker, Kubernetes).">
- Knowledge of data governance tools and practices.">
- Certification in one or more cloud platforms (e.g., AWS Certified Solutions Architect, Microsoft Certified: Azure Data Engineer, Google Professional Data Engineer).">
About Our Company:
">Our company is a global data and AI consulting services company that helps organizations transform data into tangible business results.
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