Description

You will design, implement, and deploy large-scale data platforms across public and private clouds.

Responsibilities

• Design and deploy enterprise-scale data platforms in cloud environments.
• Guide clients on data strategy, governance, architecture, and quality management.
• Lead discovery phases to translate business problems into technical solutions.
• Define development processes and tools for data acquisition, storage, and transformation.
• Develop implementation roadmaps and audit existing system architectures.
• Communicate technical solutions to stakeholders ranging from engineering teams to C-level executives.

Required Skills

• 10+ years of experience in Solution Architecture with a focus on data and analytics.
• Hands-on experience designing and maintaining enterprise-scale data platforms.
• Proficiency with Databricks, Snowflake, Apache Spark, and Kafka.
• Experience with AWS Glue, AWS Redshift, GCP Dataflow, and GCP.
• Strong programming and scripting skills in Python and Java.
• Deep understanding of Agile (Scrum) and SDLC practices.
• Practical expertise in performance tuning, optimization, and bottleneck analysis.
• Experience with CI/CD, design patterns, refactoring, and unit testing.
• Knowledge of Data Science concepts including Machine Learning and Deep Learning.

Preferred Skills

• Experience in technology consulting and technical team leadership.

Key Skills

Education

Any Gradute