Description

Design and implement enterprise data and analytics architectures across the full data lifecycle.

Responsibilities

• Translate business requirements into technical designs and fit-for-purpose solutions.
• Facilitate design and review sessions to define broad solutions and manage architectural dependencies.
• Manage all phases of the data lifecycle, including concept, design, development, implementation, and operation.
• Identify and rationalize technical solutions while compiling architecture decision records (ADRs).

Required Skills

• 8+ years of experience in enterprise data and analytics architecture.
• Expertise in Data Mesh and Domain-Driven Design (DDD).
• Proficiency in data object modeling and SQLDBM.
• Hands-on experience with AWS RDS, Snowflake, and AWS Redshift.
• Strong knowledge of SQL and data integration services including Informatica Cloud and Airflow.
• Experience with Informatica CDQ, Informatica MDM, and Informatica EDC.
• Competency in Python and Shell scripting.
• Practical experience with DevOps, Terraform, GitHub, and GitHub Actions.
• Familiarity with Agile development processes and cross-functional team collaboration.

Preferred Skills

• Experience with distributed systems such as Spark and Hadoop.
• Knowledge of data science platforms including AWS Bedrock, AWS SageMaker, or Snowflake Cortex.
• Background in data security compliance, including GxP, SOX, and data privacy.

Key Skills

Education

Any Graduate