Data Architect

About the Role:

Data Architect

Key Responsibilities:

• Design and implement

  enterprise-level data architecture

  , including data models, data flows, pipelines, and integrations.
• Define and maintain

  data standards

  ,

  governance policies

  , and

  best practices

  across the organization.
• Collaborate with data engineers, data scientists, analysts, and business teams to ensure alignment between technical and business objectives.
  
• Architect and oversee the development of

  data warehouses

  ,

  data lakes

  , and

  data marts

  to support analytics and BI initiatives.
• Define and implement

  data integration strategies

  for structured and unstructured data sources.
• Evaluate, recommend, and integrate

  data management technologies

  (ETL/ELT tools, data catalog, MDM, etc.).

Required Qualifications:

• Bachelors or Master’s degree in

  Computer Science, Information Systems, Data Engineering

  , or a related field.

• 7+ years

  of experience in data management or data engineering, with

  3+ years in data architecture or solution architecture roles

  .
• Proven experience designing and implementing

  enterprise data architectures

  in complex environments.
• Strong expertise in

  data modeling (conceptual, logical, physical)

  and

  database design

  (OLTP, OLAP).
• Hands-on experience with

  data warehousing

  and

  ETL/ELT frameworks

  (e.g., Airflow, dbt, Talend, Informatica, Glue).
• Proficiency with

  cloud-based data platforms

  (AWS Redshift, Azure Synapse, Google BigQuery, Snowflake, or Databricks).