Solution Architect

Job Information

Requisition Title: Solution Architect

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

Roles & Responsibilities

We are seeking a highly experienced Senior Data Engineer with 14+ years of expertise in designing, developing, and managing large-scale data platforms and enterprise data solutions. The ideal candidate should have strong experience in data architecture, cloud technologies, ETL/ELT frameworks, data warehousing, big data ecosystems, and modern data engineering practices. The candidate will play a key role in driving data modernization initiatives, mentoring engineering teams, and collaborating with business stakeholders to deliver scalable and secure data solutions.