Data Engineer | Senior Consultant
Core
Design, build, and scale modern cloud-native data platforms and pipelines to enable advanced analytics, AI, and business-critical decision-making for enterprise clients.
Role type
Senior Data Engineer (Consultant)
Builds
Scalable data platforms, data products, and batch/real-time processing solutions for enterprise clients.
Domain
Enterprise Data Engineering, Cloud Infrastructure, AI/ML Data Foundations
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Cloud platform expertise (AWS/Azure/GCP), Databricks/Snowflake, SQL, Python, Data pipeline orchestration (DBT/Airflow/Spark/Kafka), DataOps/DevOps practices, Infrastructure as Code (Terraform/Pulumi), Distributed systems architecture
Preferred skills
AI-ready data platform design, Real-time streaming architectures, Data mesh concepts, Data quality/observability tools, Industry domain expertise (Financial Services/Healthcare/Retail)
Technologies
AWS, Azure, Google Cloud Platform, Databricks, Snowflake, DBT, Apache Spark, Airflow, Dagster, Kafka, Flink, Terraform, Pulumi, CloudFormation, Bicep
Responsibilities
Design and implement modern data platforms and scalable pipelines; Build and optimize batch and real-time data processing solutions; Translate client business requirements into robust technical solutions; Contribute to solution architecture and technology selection; Implement DataOps best practices including CI/CD and infrastructure automation; Develop and optimize data models and storage layers; Collaborate with cross-functional teams including Data Scientists and Architects; Mentor engineers and contribute to internal technical communities
Seniority
Senior, hands-on IC with client-facing delivery