Lead Data Engineer

We are working with a leading technology solutions provider, renowned for delivering cutting-edge data engineering and cloud services to a diverse client base. This company empowers businesses to leverage their data effectively and innovate rapidly.The Role Design and implement advanced data architectures, including cloud data lakes and multi-layer data warehousing solutions. Develop complex operational data pipelines, focusing on data transformation, cleanup, and standardization. Apply rigorous SDLC best practices, including code reviews, end-to-end testing, and robust error handling. Establish and enforce data governance and security measures, implementing enterprise-level RBAC and compliance frameworks. Deploy, manage, and scale containerized data workloads using AWS ECS and ECR. Utilize core AWS services such as S3, IAM, Lambda, EC2, CloudWatch, and CloudTrail.What You'll Need 10+ years of experience in data architecture and enterprise data modeling. Expertise in advanced data transformations and production SDLC best practices. Strong background in data governance and security, including RBAC and data compliance. Hands-on experience with AWS, including ECS, ECR, S3, IAM, Lambda, EC2, CloudWatch, and CloudTrail. Proficiency in Snowflake account administration, virtual warehouse optimization, and features like Data Sharing, Time Travel, and Zero-copy cloning. Advanced Python development skills for complex data manipulation, automation, and API communication.What's On Offer Opportunity to work on challenging and impactful data engineering projects. Engage with cutting-edge cloud technologies like AWS and Snowflake. Be part of a dynamic and innovative team that values strong technical collaboration. Excellent communication skills for client and internal team interaction.Apply via Haystack today!