Urgent Hiring: Data Architect

Position:

Data Architect

Key Responsibilities

• Architect and design end-to-end Data Engineering & Analytics solutions.
  
• Lead solution development aligned with business goals and technical requirements.
  
• Explore, visualize, and analyze data to understand distribution patterns and performance impacts.
  
• Ensure data quality through cleaning, validation, and augmentation processes.
  
• Supervise the data acquisition process and assist in defining data augmentation pipelines.
  
• Collaborate with technology teams to plan, execute, and deliver Data Engineering products.
  
• Provide technical design and support for APIs, models, and integration pipelines.
  
• Apply strong knowledge of data warehousing, ETL/ELT frameworks, and analytics tools.
  
• Understand production environments, microservices, and test-driven development.
  
• Demonstrate effective communication, consulting, and technical writing skills.
  
• Must be fully hands-on.
  

Required Skills & Qualifications

• 10+ years of experience in Data Engineering, Architecture, or Big Data Analytics.
  
• Strong expertise in

  Big Data

  ,

  MDM

  ,

  Data Lakes

  ,

  Streaming Data

  ,

  Spark

  ,

  Kafka

  ,

  Redis

  ,

  Databricks

  .
• Proficiency in

  Python

  ,

  PySpark

  , and relevant frameworks.
• Hands-on experience with

  MS Fabric

  .
• Strong database skills (on-prem & cloud), messaging apps, API development.
  
• Familiarity with cloud database services (AWS RDS, Azure SQL, Google Cloud SQL).
  
• Experience with cloud-specific data services (S3, ADLS, GCS, Redshift, Synapse, BigQuery, EMR, Dataproc, Databricks).
  
• Experience with Real-Time Analytics tools (Kafka, Azure Streaming, AWS Kinesis).
  
• Hands-on with ETL/ELT tools (Apache NiFi, AWS Glue, ADF, Dataflow).
  
• Working knowledge of data governance, metadata, and data quality management.
  
• Experience in enterprise data migration, data warehousing, and DB modeling.
  
• Familiarity with visualization tools (Matplotlib, Seaborn, Power BI, Tableau).
  
• Knowledge of Python API frameworks:

  FastAPI, Flask, Django

  .

Why Join Calsoft?

• Opportunity to architect next-generation data platforms.
  
• Culture of innovation and continuous learning.
  
• Work on complex, enterprise-scale global projects.
  
• Competitive compensation and career growth.
  

Interested candidates can share their resume at: