Sr Data Engineer

We are seeking a **Senior Data Engineer** with a consultative, analytical, and highly communicative profile, capable of leading data architecture and engineering initiatives from design to delivery. The ideal candidate will design, implement, and optimize **Data Lake architectures and data pipelines on AWS**, with a strong focus on **workload migration, real\-time data integration, and governance**. This role requires both technical expertise and strategic vision, collaborating with cross\-functional teams to translate business needs into scalable, data\-driven solutions. #### **Key Responsibilities** * Design and implement modern **Data Lake / Data Mesh** architectures. * Lead **workload and pipeline migrations** from on\-premises or hybrid environments to cloud platforms (AWS, Azure, GCP). * Build and optimize **batch and streaming data pipelines** ensuring scalability and reliability. * Implement **Change Data Capture (CDC)** and real\-time streaming with **Kafka** and **Kinesis**. * Ensure **observability, security, and governance** across data pipelines. * Collaborate with **Data Scientists, Architects, and Stakeholders** to deliver scalable, data\-driven solutions. * Provide **technical leadership** and support architectural modernization strategies. #### **Required Qualifications** * Proven experience with **AWS Data Services** (S3, Glue, Athena, Redshift, Kinesis, Lambda, Step Functions, Lake Formation, IAM). * Hands\-on experience with **CDC frameworks** (e.g., Debezium, AWS DMS). * Strong background in **Kafka** and orchestration tools like **Airflow** or **Airbyte**. * Proficiency in **Python** and **SQL** for ETL/ELT development. * Experience in **data workload migration** and pipeline modernization. * Familiarity with **Git\-based workflows** and **CI/CD** practices. * Excellent communication skills across technical and non\-technical teams. #### **Nice to Have** * Experience in **consulting or client\-facing** roles. * Strong analytical and solution\-oriented mindset. * Experience with **Databricks**, **Spark**, and **Delta Lake**. * Knowledge of **BigQuery (GCP)** and **Azure Data Services** (Synapse, Data Factory). * Understanding of **MLOps** and ML pipeline integrations. * Experience with **Infrastructure as Code** (Terraform, Pulumi, AWS CDK). * **English fluency** (technical or conversational).