Cloud Data Architectural Specialist

7 days ago


Noida, Uttar Pradesh, India Infostride Technologies Pvt Ltd Full time

About the Company: Infostride Technologies Pvt Ltd is a leading provider of innovative data solutions. Our team of experts is dedicated to delivering high-quality data platforms that meet the evolving needs of our clients.

Job Overview: We are seeking a Senior Data Platform Engineer to join our team. As a key member of our engineering team, you will be responsible for maintaining and building out our Databricks-based platform for our solution teams.

Estimated Salary: $140,000 - $170,000 per annum, depending on location and experience.

Key Responsibilities:

  • Execution of critical improvements to our Databricks-based data platform to improve overall system usability, improve data observability, and reduce costs.
  • Support and maintain existing data systems ensuring high system health & usability with improved support to our global teams.
  • Provide expertise and support on the overall data engineering best practices, standards, architectural approaches, and complex technical resolutions.
  • Analyze fault-tolerance and high availability issues, performance, and scale challenges, and solve them.
  • Build robust CD/CI for our platforms to ensure deployment time is reduced to unlock solutions teams' velocity.

Requirements:

  • Strong technical communication – ability to break down complex technical components for technical and non-technical stakeholders and develop documentation for streamlined use.
  • Excellence in quality data pipeline design, development, and optimization to create reliable, modular, secure data foundations for the organization's data delivery system from applications to analytics & ML.
  • Experience using infrastructure as code (Terraform) in production settings and designing improvements to simplify infrastructure deployments.
  • 2+ years of experience building or supporting Databricks-based data platforms; 5+ years of experience building or supporting modern Data Platform stacks with hands-on experience optimizing data warehouses & workloads at scale.
  • (Snowflake, Spark, and AWS experience preferred)

Bonus Skills:

  • Experience with MLOps and/or developing and maintaining machine learning models and infrastructure; especially using Databricks.
  • Experience designing and supporting multi-cloud architectures. (particularly for ML / AI systems)
  • Experience with data visualization tools and analytics technologies (Looker, Tableau, etc.)
  • Degree in Computer Science, Engineering, or related field.
  • Experience working within the constraints of HIPAA and data access limitations.
  • Interest in mentoring and supporting new developers.

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