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Lead Data Engineer

K2 Partnering Solutions · k2partnering.com
United StatesLead / Manager
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The job in short

Lead data engineering.

PythonScalaSQLKafkaSparkAirflowDatabricksAWSAzureGCPTerraform

Details

Found
5 d ago · posted 2026-06-11
Location as listed
United States of America
Role
Data Engineer
Source
The company’s own careers site

Full description

101444 Lead Data Engineer USA Upper-Intermediate Strong (B2+) Position Requirements We are looking for a Lead Big Data Engineer with strong expertise in streaming and modern data platforms to join our team and collaborate with our client, Deloitte. In this role, you will lead the design and delivery of real-time data solutions, scalable data platforms, and event-driven architectures, working closely with engineering teams, architects, and business stakeholders. You Are An experienced Lead Data Engineer / Lead Data Platform Engineer Strong in: Streaming data architecture Event-driven systems Designing real-time and batch data pipelines Hands-on with: Apache Kafka and Confluent Platform / Confluent Cloud Databricks and lakehouse architectures Change Data Capture (CDC) patterns Proficient in: Python, SQL (Scala is a plus) Experienced in building solutions using: Spark (PySpark/Scala), Delta Lake Knowledgeable in: Kafka topics, partitions, schema design Schema Registry, Kafka Connect, ksqlDB Experienced in: Cloud platforms (Azure / AWS / GCP) Data modeling and performance optimization Skilled in collaboration with: Architects Product Owners Cross-functional engineering teams A strong leader with ownership mindset and excellent communication skills You Will Define and drive data platform architecture and engineering standards Lead a team of data engineers and support technical decision-making Design and implement: End-to-end data ingestion frameworks Streaming and batch data pipelines Build and optimize: Real-time data processing solutions Event-driven systems based on Kafka ecosystem Develop and maintain data platforms on Databricks Implement CDC pipelines to replicate transactional data into analytics platforms Drive cloud migration and data platform modernization initiatives Ensure solutions meet requirements for: Scalability Reliability Security and governance Collaborate with stakeholders to align technical solutions with business needs Support continuous improvement and data-driven decision-making Selling Points Nice to Have Hands-on experience with: Debezium Kafka Connect ecosystem GoldenGate or SQL-based CDC tools Experience with: Airflow or Databricks Workflows Infrastructure as Code (Terraform) CI/CD pipelines for data platforms Exposure to: Advanced monitoring and observability tools Multi-cloud data platform strategies Together We Offer Opportunity to work with Deloitte, a globally recognized client Participation in enterprise-scale data engineering and transformation programs Access to modern streaming, cloud, and data platform technologies A collaborative and innovation-driven engineering environment Opportunities for leadership growth and certifications Flexible work arrangements across the United States

Data Engineer jobs in the United States

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