Solutions Architect

Job description

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.