Data Architect

Role & responsibilities

• 10+ years of overall experience, with at least 6 years in

  data architecture and modeling

  .
• Proficiency in

  data modeling tools

  such as

  Erwin, ER/Studio, or PowerDesigner

  .
• Strong understanding of

  database technologies

  relational (Oracle, SQL Server, PostgreSQL) and NoSQL (MongoDB, Cassandra).
• Experience with

  data integration tools

  (Informatica, Talend, Apache NiFi, etc.).
• Hands-on experience with

  big data technologies

  like

  Hadoop, Spark, Kafka, Hive, or Snowflake

  .
• Experience designing and maintaining

  data lakes and data warehouses

  (AWS Redshift, Azure Synapse, GCP BigQuery).
• Strong grasp of

  ETL/ELT processes

  ,

  data pipelines

  , and

  workflow orchestration tools

  (Airflow, AWS Glue).
• Solid understanding of

  data governance frameworks

  ,

  metadata management

  , and

  data security best practices

  .
• Familiarity with

  cloud data platforms

  (AWS, Azure, or GCP) and modern data stack components.
• Knowledge of

  Python or SQL

  for data processing and scripting.
• Excellent communication and collaboration skills to partner effectively with business and technical stakeholders.