Chief Data Visionary

4 days ago

Kolkata, West Bengal, India beBeeData Full time ₹ 1,98,19,200 - ₹ 2,47,92,150
Job Overview

We are seeking a seasoned Lead Data Architect to spearhead the design, development, and implementation of robust data engineering solutions.

This key role will focus on building secure and scalable data platforms while mentoring our engineering teams. The successful candidate will have a strong understanding of cloud-native data services and experience with big data technologies.

Responsibilities:

  • Develop strategic data architectures that meet business requirements.
  • Lead the implementation of data solutions on various cloud platforms.
  • Define and enforce data governance, quality, and security standards.
  • Collaborate with data engineers, data scientists, and business 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 data architecture, data flows, and processes.
  • Provide technical leadership and mentorship to junior team members.
  • Stay up-to-date with the latest trends and best practices in data architecture and cloud computing.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 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, or GCP).
  • Solid understanding of cloud-native data services such as:
  • AWS: Redshift, S3, Glue, Athena, and EMR.
  • Azure: Synapse Analytics, Data Lake, Data Factory, and Databricks.
  • GCP: BigQuery, Cloud Storage, Dataflow, and 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 the ability to work independently as well as part of a team.
  • Strong communication and collaboration skills.

Preferred Skills:

  • 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.

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