4 months ago

Senior Data Architect - AWS

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Senior Data Architect - AWS leads data and analytics initiatives on AWS cloud platforms, architecting enterprise-grade data solutions, ML infrastructure, and governance. This role focuses on scalable, secure data architectures, data lakes/warehouses, and cross-cloud integrations, with leadership responsibility for data/ML engineers and collaboration with data scientists and stakeholders to drive insights.

Location: Kochi

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Data Architecture & Strategy: Define and execute the enterprise data architecture strategy, establishing architectural standards and best practices for data lakes, warehouses, and streaming analytics. Lead data modernization roadmaps for transitioning legacy systems to cloud-native AWS architectures.
•Platform Leadership: Own AWS data platform architecture, including Lakehouse and Data Mesh patterns, metadata management, and data lineage. Design scalable data ingestion pipelines and processing frameworks using tools like Glue, EMR, and Step Functions.
•Machine Learning & MLOps: Design and implement end-to-end ML platforms and MLOps frameworks using Amazon SageMaker. Architect scalable inference solutions and automate ML pipelines to enable reproducible, version-controlled workflows.
•Cross-Platform Integration: Architect hybrid and multi-cloud solutions connecting AWS with Azure and on-premises systems. Develop unified data access patterns and federated query capabilities.
•Governance & Security: Design comprehensive data governance and security frameworks, including encryption, fine-grained access control, and automated data quality validation pipelines. Ensure compliance with regulatory requirements (GDPR, CCPA).

Key Requirements

•10+ years of experience in data architecture, data engineering, or related roles, with at least 5 years specifically in cloud-based data platforms (AWS emphasis).
•Bachelor's or Master's degree in a quantitative discipline (Computer Science, Data Science, Engineering, etc.) is mandatory.
•Mandatory Certifications: AWS Certified Data Analytics Specialty, AWS Certified Machine Learning Specialty, and Azure Data Engineer Associate (DP-203).
•Deep technical expertise in AWS data services (e.g., S3, Glue, Redshift, Athena, EMR, Kinesis, SageMaker) and database technologies.
•Strong expertise in data modeling (dimensional, data vault) and distributed data processing frameworks (Apache Spark, Kafka, Flink).
•Proven hands-on experience building ETL/ELT pipelines using Python, PySpark, and SQL.

Experience:10+ yearsInformation technologyData analytics

Education:Bachelor's

Skills:PythonPySparkSQLAWSS3GlueRedshiftAthenaEMRKinesisSageMakerSparkKafkaFlink

Certifications:AWS Certified Data Analytics SpecialtyAWS Certified Machine Learning SpecialtyAzure Data Engineer Associate (DP-203)

Languages:English

Tech Stack:AWSS3GlueRedshiftAthenaEMRKinesisSageMakerPythonPySparkSQLApache SparkKafkaFlink

Company Brief

Zaintech

Zaintech is the digital services and technology arm of Zain Group, delivering cloud, managed services, cybersecurity, contact center, and digital transformation solutions to enterprises and carriers across the Middle East and Africa.

Industry: Consulting

Company Size: Large (251 to 1,000 employees)

Growth: Established Company

Headquarters: Kuwait City, Kuwait

Website LinkedIn

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Zaintech

4 months ago

Senior Data Architect - AWS

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Kochi

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Data Architecture & Strategy: Define and execute the enterprise data architecture strategy, establishing architectural standards and best practices for data lakes, warehouses, and streaming analytics. Lead data modernization roadmaps for transitioning legacy systems to cloud-native AWS architectures.
•Platform Leadership: Own AWS data platform architecture, including Lakehouse and Data Mesh patterns, metadata management, and data lineage. Design scalable data ingestion pipelines and processing frameworks using tools like Glue, EMR, and Step Functions.
•Machine Learning & MLOps: Design and implement end-to-end ML platforms and MLOps frameworks using Amazon SageMaker. Architect scalable inference solutions and automate ML pipelines to enable reproducible, version-controlled workflows.
•Cross-Platform Integration: Architect hybrid and multi-cloud solutions connecting AWS with Azure and on-premises systems. Develop unified data access patterns and federated query capabilities.
•Governance & Security: Design comprehensive data governance and security frameworks, including encryption, fine-grained access control, and automated data quality validation pipelines. Ensure compliance with regulatory requirements (GDPR, CCPA).

Key Requirements

•10+ years of experience in data architecture, data engineering, or related roles, with at least 5 years specifically in cloud-based data platforms (AWS emphasis).
•Bachelor's or Master's degree in a quantitative discipline (Computer Science, Data Science, Engineering, etc.) is mandatory.
•Mandatory Certifications: AWS Certified Data Analytics Specialty, AWS Certified Machine Learning Specialty, and Azure Data Engineer Associate (DP-203).
•Deep technical expertise in AWS data services (e.g., S3, Glue, Redshift, Athena, EMR, Kinesis, SageMaker) and database technologies.
•Strong expertise in data modeling (dimensional, data vault) and distributed data processing frameworks (Apache Spark, Kafka, Flink).
•Proven hands-on experience building ETL/ELT pipelines using Python, PySpark, and SQL.

Experience:10+ yearsInformation technologyData analytics

Education:Bachelor's

Skills:PythonPySparkSQLAWSS3GlueRedshiftAthenaEMRKinesisSageMakerSparkKafkaFlink

Certifications:AWS Certified Data Analytics SpecialtyAWS Certified Machine Learning SpecialtyAzure Data Engineer Associate (DP-203)

Languages:English

Tech Stack:AWSS3GlueRedshiftAthenaEMRKinesisSageMakerPythonPySparkSQLApache SparkKafkaFlink

Company Brief

Zaintech

Industry: Consulting

Company Size: Large (251 to 1,000 employees)

Growth: Established Company

Headquarters: Kuwait City, Kuwait

Website LinkedIn