data architect

Job Overview:

Data Architect

Key Responsibilities:

• Design and implement

  scalable, secure, and high-performance data architectures

  for enterprise data platforms.
• Build and manage

  data pipelines

  for both structured and unstructured data sources.
• Collaborate with business and technical stakeholders to gather requirements and convert them into effective data solutions.
• Ensure

  data quality, consistency, lineage

  , and

  governance

  across all data systems.
• Drive

  data integration

  initiatives using modern ETL/ELT tools (experience with

  Informatica

  is a plus).
• Develop and maintain

  logical and physical data models

  , metadata repositories, and documentation.
• Support and optimize

  data warehousing

  solutions, enabling efficient data storage and retrieval.
• Investigate and resolve complex data-related issues in a timely manner.

Required Qualifications & Skills:

• 4-10 years of hands-on experience in

  Data Architecture

  ,

  Data Engineering

  , and

  building scalable data pipelines

  .
• Deep understanding of

  Data Warehousing concepts

  , best practices, and performance optimization techniques.
• Proven expertise in

  data modeling

  and strong proficiency in

  SQL

  .
• Experience with ETL tools (especially

  Informatica

  ) for data integration and transformation workflows.
• Familiarity with

  cloud platforms

  such as AWS, Azure, or GCP is a plus.
• Strong

  analytical and problem-solving

  skills.
• Excellent

  communication

  and

  stakeholder management

  abilities.
• Ability to work independently and lead data initiatives across the organization.

Preferred Qualifications:

• Exposure to

  real-time data streaming

  ,

  data lake architecture

  , or

  data catalog tools

  .
• Experience working in

  agile teams

  and participating in

  data governance

  initiatives.
• Certifications in data engineering or cloud platforms (e.g., AWS Certified Data Analytics, GCP Professional Data Engineer).