Solution Architect

Cyient; Hyderabad; On-site; INR 900,000 - 1,400,000; Full time

Benefits offered by this job

Microsoft Azure Data Engineer–certs

Azure Solutions Architect Expert

AWS Certified Data Analytics - Special

Databricks Certified Data Engineer

Snowflake SnowPro Certification

Job summary

Cyient in Hyderabad, India is seeking an experienced Data Engineer Lead to design and scale enterprise data platforms. The role focuses on building batch and real-time pipelines, ensuring data quality, and guiding modernization initiatives across cloud environments.

The ideal candidate brings 14+ years in data engineering, strong leadership, and expertise in Spark, Hadoop, Kafka, Airflow, and cloud data services. Collaboration with data science and analytics teams is essential.

Qualifications

• Bachelor's or Master's degree in CS, IT, Data Engineering, or related field.
• 14+ years of experience in Data Engineering, Data Warehousing, and Big Data technologies.
• Strong experience in cloud-based data platforms and modern data architecture.
• Experience handling large-scale enterprise data transformation programs.
• Excellent communication, leadership, and stakeholder management skills.

Responsibilities

• Design, build, and optimize scalable data pipelines for batch and real-time data processing.
• Architect enterprise-grade data platforms using cloud-native technologies.
• Develop and maintain robust ETL/ELT frameworks for integrating data from multiple sources.
• Lead data migration and modernization initiatives from legacy systems to cloud platforms.
• Ensure data quality, governance, security, and compliance across enterprise data ecosystems.
• Implement data models, data marts, and data warehouse solutions to support analytics and reporting.
• Collaborate with Data Scientists, BI teams, Product Owners, and business stakeholders.
• Optimize data processing performance, scalability, and cost efficiency.
• Establish best practices for data engineering, CI/CD, automation, monitoring, and observability.
• Mentor junior and senior engineers while driving technical excellence within the team.

Skills

Data Engineering & Big Data

Python

SQL

Apache Spark

Hadoop Ecosystem

Kafka

Airflow

Databricks

Education

Bachelor's or Master's degree in Computer Science or related

Tools

Azure

AWS

GCP

Azure Data Factory

Azure Synapse

Azure Data Lake Storage

Azure Event Hub

Glue

Redshift

EMR

S3

BigQuery

Dataflow

Composer

Snowflake

Job description

Key Responsibilities

• Design, build, and optimize scalable data pipelines for batch and real-time data processing.
• Architect enterprise-grade data platforms using cloud-native technologies.
• Develop and maintain robust ETL/ELT frameworks for integrating data from multiple sources.
• Lead data migration and modernization initiatives from legacy systems to cloud platforms.
• Ensure data quality, governance, security, and compliance across enterprise data ecosystems.
• Implement data models, data marts, and data warehouse solutions to support analytics and reporting.
• Collaborate with Data Scientists, BI teams, Product Owners, and business stakeholders.
• Optimize data processing performance, scalability, and cost efficiency.
• Establish best practices for data engineering, CI/CD, automation, monitoring, and observability.
• Mentor junior and senior engineers while driving technical excellence within the team.

Required Skills

Data Engineering & Big Data

• Python
• SQL
• Apache Spark
• Hadoop Ecosystem
• Kafka
• Airflow
• Databricks

Cloud Platforms

• Azure (Preferred)
  • Azure Data Factory (ADF)
  • Azure Synapse Analytics
  • Azure Data Lake Storage (ADLS)
  • Azure Event Hub
• AWS
  • Glue
  • Redshift
  • EMR
  • S3
• GCP (Good to have)
  • BigQuery
  • Dataflow
  • Composer

Database & Data Warehousing

• SQL Server
• PostgreSQL
• Oracle
• Snowflake
• Azure Synapse
• Redshift

DevOps & Automation

• Git
• Azure DevOps
• Jenkins
• Terraform
• Docker
• Kubernetes

Data Governance

• Data Quality Frameworks
• Metadata Management
• Data Lineage
• Data Security & Compliance
• Master Data Management (MDM)

Leadership Responsibilities

• Lead and guide a team of Data Engineers.
• Participate in architecture review boards and technical governance discussions.
• Define enterprise data engineering standards and best practices.
• Drive stakeholder management and business engagement.
• Support project estimation, planning, and execution.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or a related field.
• 14+ years of experience in Data Engineering, Data Warehousing, and Big Data technologies.
• Strong experience in cloud-based data platforms and modern data architecture.
• Experience handling large-scale enterprise data transformation programs.
• Excellent communication, leadership, and stakeholder management skills.

Preferred Certifications

• Microsoft Certified: Azure Data Engineer Associate
• Azure Solutions Architect Expert
• AWS Certified Data Analytics - Specialty
• Databricks Certified Data Engineer Professional
• Snowflake SnowPro Certification