Highly Experienced Senior Data Architect

4 days ago


Thoothukudi, Tamil Nadu, India beBeeData Full time ₹ 2,00,00,000 - ₹ 3,50,00,000

Job Title:

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  • Dynamic Data Architect Lead
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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.">
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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.">
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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.">
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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).">
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About Our Company:

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Our company is a global data and AI consulting services company that helps organizations transform data into tangible business results.



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