Data Architect

Job Title:

Experience:

Job Summary

Senior Data Architect

Key Roles & Responsibilities

• Design and define

  enterprise-level data architecture

  including data models, data lakes, data warehouses, and data marts
• Lead the development of

  scalable, high-performance data platforms

  on cloud and on-prem environments
• Define

  data integration patterns

  (ETL/ELT, streaming, batch processing)
• Establish and enforce

  data governance, data quality, and metadata management

  standards
• Design

  logical, physical, and conceptual data models

• Collaborate with Data Engineers, Analytics teams, and Business stakeholders
  
• Drive

  cloud data architecture

  using AWS, Azure, or GCP services
• Define

  security, compliance, and access control

  policies for data platforms
• Evaluate and recommend new data technologies, tools, and frameworks
  
• Optimize data storage, performance, and cost efficiency
  
• Mentor junior data architects and engineers
  
• Support advanced use cases including

  AI/ML, real-time analytics, and big data processing

Required Skills & Qualifications

Technical Skills

• Strong experience in

  Data Architecture & Design

• Expertise in

  Data Warehousing concepts

  (Star/Snowflake schemas)
• Hands-on experience with

  Big Data technologies

  (Spark, Hadoop, Kafka)
• Proficiency in

  SQL and NoSQL databases

• Experience with

  ETL/ELT tools

  (Informatica, Talend, dbt, Airflow, etc.)
• Strong knowledge of

  Cloud Data Services

  :
• AWS: Redshift, Glue, S3, Lake Formation
  
• Azure: Synapse, Data Factory, ADLS
  
• GCP: BigQuery, Dataflow
  
• Experience with

  Data Lake / Lakehouse architectures

  (Delta Lake, Iceberg, Hudi)

Data Governance & Security

• Data governance frameworks and best practices
  
• Master Data Management (MDM)
  
• Metadata management and data lineage
  
• Data privacy regulations (GDPR, HIPAA, etc.)
  

Soft Skills

• Strong leadership and stakeholder management skills
  
• Excellent communication and documentation abilities
  
• Strategic thinking and problem-solving mindset
  
• Ability to translate business requirements into technical solutions
  

Education

• Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or related field
  

Preferred Certifications

• AWS / Azure / GCP Data Architect certifications
  
• TOGAF or equivalent architecture certification
  

Nice to Have

• Experience in

  AI/ML data pipelines

• Knowledge of

  real-time streaming architectures

• Experience with

  BI tools

  (Power BI, Tableau, Looker)