Sr Developer Software

Role Overview 

As a Sr Engineer, you will play a critical role across the full data lifecycle—from business requirements gathering and data modeling to solution architecture, development, deployment, and production support. This is a hands-on technical leadership role requiring deep expertise in building scalable, cloud-native data platforms using Snowflake, Amazon Redshift, AWS, and modern data engineering tools. 

What You Will Do 

• Design, develop, and implement scalable batch and real-time data pipelines using Snowflake, Amazon Redshift, and AWS-native technologies  

• Lead end-to-end data engineering initiatives including data ingestion, transformation (ETL/ELT), data quality, and data delivery across enterprise platforms  

• Build and optimize cloud-native data solutions leveraging AWS services such as S3, Lambda, Glue, ECS, EMR, IAM, CloudWatch, and related services  

• Develop and maintain modern ELT transformation frameworks using dbt (Data Build Tool) for modular, testable, and scalable data modeling  

• Collaborate with data architects, analysts, product owners, and business stakeholders to gather requirements and translate them into technical solutions  

• Drive best practices in data modeling, governance, metadata management, lineage, and performance optimization  

• Implement observability and monitoring solutions using tools such as Datadog, CloudWatch, and custom alerting frameworks to ensure platform reliability and operational excellence  

• Lead code reviews, establish engineering standards, and champion CI/CD and DevOps practices for data platforms  

• Troubleshoot and resolve complex production issues related to data pipelines, orchestration, and warehouse performance  

• Mentor junior and mid-level engineers, fostering a culture of technical excellence and continuous learning  

• Evaluate and adopt emerging technologies in cloud, AI/ML, and data engineering to drive innovation across the organization  

• Enable AI/ML initiatives by building trusted, scalable, and high-quality datasets for advanced analytics and GenAI applications  

• Partner with cross-functional teams to implement secure, compliant, and highly available enterprise data solutions  

What You Will Bring 

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field  

• 12+ years of experience in Data Engineering, Data Warehousing, and Software Development  

• Strong expertise in SQL and Python with experience building enterprise-scale data solutions  

• Hands-on experience with Snowflake and Amazon Redshift in large-scale production environments  

• Strong experience with modern data transformation frameworks such as dbt  

• Experience with orchestration and workflow tools such as Apache Airflow  

• Hands-on experience with streaming and CDC technologies such as Kafka, STRIIM, or similar event-streaming platforms  

• Experience building and supporting observability frameworks using Datadog or equivalent monitoring platforms  

• Strong understanding of dimensional and normalized data modeling techniques  

• Experience working with AWS cloud services including S3, Lambda, Glue, IAM, ECS, CloudFormation, and related technologies  

• Knowledge of CI/CD implementation using tools such as GitHub Actions, Jenkins, Terraform, or similar platforms  

• Experience with data governance, data quality frameworks, and security best practices  

• Excellent problem-solving, analytical, and communication skills  

• Proven ability to lead technical initiatives and mentor engineering teams  

• Passion for innovation, continuous learning, and adopting modern data engineering practices