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Data Architect

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Onsite

Data Architect

ProLegion

Data Architect

Skills

Google Cloud PlatformSQL QueriesBig DataData EngineeringPythonData ScienceJavaKafkaAmazon RedshiftScalaAWSTalendApache AirflowHadoopComplianceAzure

2 years ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

15 October 2026

What they need


Job highlights

  • Experience with cloud platforms (AWS,Azure,GCP) and services (S3,Redshift,BigQuery).
  • Knowledge of data governance / compliance standards (GDPR,CCPA). Certification in cloud technologies or data engineering tools
  • Experience with big data technologies (Hadoop,Spark).

Job Title: Data Architect

Location: Mahadevpura, Bangalore

Experience: 8+ Years (Certification in cloud technologies or data engineering tools)

Job Description:

We are seeking a skilled Data Architect to join our team

This role involves designing and implementing data integration workflows, optimizing data pipelines, and collaborating with cross-functional teams to ensure data systems align with business objectives

Key Responsibilities:

Data Integration: Design and implement data integration workflows (APIs, ETL/ELT tools, data lakes) to connect disparate systems

Data Engineering: Develop scalable data pipelines using industry-standard tools and languages

Optimize data storage, retrieval, and processing workflows

Collaboration: Partner with data analysts, data scientists, and business teams to deliver clean, usable datasets

Work with IT teams for seamless deployment

Technology & Tools: Evaluate and implement data management tools (ETL platforms, cloud services, databases) while ensuring compliance with governance, privacy, and security policies

Documentation & Reporting: Maintain documentation for integration and engineering processes, providing regular updates on system performance and issues

Required Skills & Qualifications:

Education: Bachelors degree in Computer Science, Information Technology, Data Science, or related field

Technical Skills:

Proficiency in ETL/ELT tools (Talend, Informatica, Apache NiFi)

Strong programming skills in Python, SQL, Scala, or Java

Experience with cloud platforms (AWS, Azure, GCP) and services (S3, Redshift, BigQuery)

Knowledge of SQL/NoSQL databases and data warehouse systems

Familiarity with orchestration tools (Apache Kafka, Apache Airflow)

Soft Skills: Strong problem-solving, analytical skills, and excellent communication

Attention to detail with a focus on quality

Preferred Qualifications:

Experience with big data technologies (Hadoop, Spark)

Knowledge of data governance/compliance standards (GDPR, CCPA)

Certification in cloud technologies or data engineering tools

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