Senior Data Platform Specialist

1 day ago

Ahmedabad, Gujarat, India beBeeDataArchitect Full time ₹ 25,00,000 - ₹ 35,00,000

About Our Data Architect Opportunity

We are seeking a highly skilled and experienced Data Architect to lead our data engineering solutions from strategic design to hands-on implementation.

Job Description

  • Data Architecture: Design, develop, and maintain robust, scalable, and secure data architectures that meet business requirements.
  • Cloud Engineering: Lead the implementation of data solutions on various cloud platforms (AWS, Azure, and GCP).
  • Data Governance: Define and enforce data governance, quality, and security standards.
  • Collaboration: Collaborate with data engineers, data scientists, and business stakeholders to understand needs and translate them into technical solutions.
  • Technology Evaluation: Evaluate new technologies and tools to improve our data infrastructure and practices.
  • Documentation: Create and maintain detailed documentation of data architecture, data flows, and processes.
  • Leadership: Provide technical leadership and mentorship to junior team members.
  • Professional Development: 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 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 (e.g., AWS Certified Solutions Architect, Microsoft Certified: Azure Data Engineer, Google Professional Data Engineer).

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