Enterprise Data Strategist

24 hours ago

Kota, Rajasthan, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Senior Data Solutions Architect

We are seeking a seasoned expert to spearhead the entire lifecycle of our data engineering solutions, from strategic design to hands-on implementation.

This key role will have you serving as a hands-on architect, constructing secure and scalable data platforms while mentoring junior team members.

  • Develop robust, scalable, and secure 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 stakeholders to understand needs and translate them into technical solutions.
  • Evaluate new technologies and tools to improve our data infrastructure and practices.
  • Create and maintain 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.
Requirements
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Overall 10-12 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.
  • 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 the ability to work independently as well as part of a team.
Preferred Skills
  • Experience with DevOps practices and tools (e.g., CI/CD pipelines, Terraform, Docker, Kubernetes).
  • Knowledge of data governance tools and practices.

Certifications such as Professional Cloud Architect, Certified Data Management Professional, AWS Certified Solutions Architect, Microsoft Certified: Azure Data Engineer, Google Professional Data Engineer are preferred.

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