Posted:1 week ago| Platform: Foundit logo

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Job Type

Full Time

Job Description

What You Will Do:

Develop and implement secure, scalable data solutions using AWS and Databricks, ensuring flawless integration across enterprise data layers. Establish data governance and security standard methodologies, lead adoption of cloud-based architectures, and collaborate with teams to drive innovation in data integration and self-service analytics.

How You Will Get Here:

  • BS/MS in Computer Science, Information Systems, or equivalent experience.
  • 9 or more years of industry experience in data architecture, data engineering, or cloud-based data solutions.
  • 4 or more years of demonstrated ability in solutions, including AWS S3, Redshift, Glue, Lambda, EMR, Kinesis, Athena, PySpark, Python, and SQL for data processing, ETL/ELT data transformation
  • Good experience in Databricks, building scalable data pipelines, optimizing Delta Lake storage, and implementing security controls.
  • Expertise in AWS services, cloud security standard processes, IAM roles and policies, encryption strategies, and compliance frameworks (e.g., GDPR, HIPAA).
  • Experience in working on initiatives related to AI and Data
  • Good knowledge of data governance frameworks, including AWS Lake Formation, Unity Catalog, and data lineage tracking.
  • Proficiency in CI/CD practices for data solutions using Github, GHA and Terraform.
  • Experience implementing real-time and batch data processing solutions using Kafka, Kinesis, or Spark Streaming.
  • Strong problem-solving skills with experience in debugging, performance tuning, and cost optimization in cloud environments.

Non-Technical Qualifications:

  • Strong leadership skills with the ability to influence technical decisions and guide teams toward scalable data solutions.
  • Outstanding interpersonal skills to translate sophisticated technical concepts into business-aligned solutions.
  • Proven ability to work cross-functionally with collaborators across IT, business, and security teams.
  • Experience in writing technical documentation, architecture diagrams, and standard methodology guides.
  • Passion for continuous learning, innovation, and staying ahead of evolving cloud and data technologies.

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