Description

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

Responsibilities

• Design and maintain enterprise-scale data platforms and architectures.
• 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, transformation, and analysis.
• Review existing system architectures and create technical documentation for 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 expertise with Databricks, Snowflake, Apache Spark, and Kafka.
• Proficiency with AWS Glue, AWS Redshift, GCP Dataflow, and GCP BigQuery.
• Strong programming and scripting skills in Python and Java.
• Experience implementing large-scale projects within AWS, Azure, or GCP infrastructures.
• Deep understanding of Agile (Scrum) and standard SDLC practices.
• Practical expertise in performance tuning, optimization, and bottleneck analysis.
• Knowledge of design patterns, refactoring, unit testing, and CI/CD.
• Background in Data Science concepts including Machine Learning and Deep Learning.

Preferred Skills

• Experience in technology consulting and technical team management.

Key Skills

Education

Any Gradute