Chief Data Infrastructure Strategist

1 day ago

Nashik, Maharashtra, India beBeeDataArchitecture Full time ₹ 1,80,00,000 - ₹ 2,50,00,000
Job Title

Data Architect Lead

An experienced Data Architect Lead is required to drive the full lifecycle of data engineering solutions, from strategic design to hands-on implementation.

About The Role
  • Key Responsibilities:
  • 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, 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 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.
  • 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 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 (e.g., AWS Certified Solutions Architect, Microsoft Certified: Azure Data Engineer, Google Professional Data Engineer).

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