Cloud Data Solutions Architect

New

Skills

Airflow AWS Azure CI/CD Devops Python Redshift Snowflake Spark Sql

Join phData’s Elastic Operations team as a Cloud Data Solutions Architect and play a pivotal role in shaping the future of modern data platforms. In this remote-first role, you’ll provide hands-on technical leadership, guiding clients to operational excellence and innovation across cloud-native data environments. Collaborate with talented professionals, deliver best-in-class solutions, and continually drive improvements for large-scale, cloud-based data systems.

Job Overview

As a Solutions Architect, you will operate, manage, and optimize modern data platforms for enterprise clients, leveraging industry-leading technologies in AWS and Azure. You will act as a technical leader, coach engineers, and ensure successful delivery and ongoing enhancement of clients’ cloud data ecosystems.

Key Responsibilities
  • Operate, manage, and optimize cloud-native data platforms (streaming, lakes, analytics, and more).
  • Lead multiple customer accounts, providing architectural guidance across diverse technical stacks.
  • Identify and recommend best practices to maximize Cloud Data Platform performance and value.
  • Design, delegate, and oversee technical epics, stories, and tasks to continuously improve customer environments.
  • Coach and mentor engineers, ensuring timely and successful project delivery.
  • Deliver thought leadership and recommend technologies to solve complex data problems.
  • Automate and optimize processes to enhance efficiency, scalability, and security.
Required Skills & Qualifications
  • 10-14 years of solutions architecture experience with cloud-native data warehouses (Snowflake, Redshift).
  • Expertise in AWS and/or Azure cloud data technologies (S3, Aurora, Redshift, Athena, Sagemaker, etc.).
  • Strong SQL skills, including writing, debugging, and optimizing queries.
  • Proven experience in production support, database administration, and troubleshooting in large enterprise environments.
  • Hands-on experience with infrastructure as code (Terraform, CloudFormation) and scripting (preferably Python).
  • Background in data integration (Spark, Kafka, Fivetran, NiFi, Matillion, etc.) and workflow/orchestration (Airflow, Luigi).
  • Familiarity with CI/CD tools (Bitbucket, Github, Flyway, Liquibase) and continuous deployment frameworks.
  • Professional communication skills with a client-facing approach.
  • Technical team leadership experience and a Bachelor’s degree in Computer Science or related field.
  • Certifications in core data platforms (Snowflake, AWS, Azure, GCP, Hadoop, Databricks) are preferred.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: 12 Months

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