Chief Data Engineer

Jobgether SRL; Washington; Hybrid; USD 115,000 - 252,000; Full time

Benefits offered by this job

Comprehensive healthcare benefits

Hybrid work opportunity in Washington,

Wellness programs

Retirement benefits

Education and learning opportunities

Flexible time-off

Job summary

Jobgether SRL is partnering to hire a Chief Data Engineer in the United States. You will lead an enterprise data platform, architect cloud-based pipelines, and guide modernization from legacy ETL to cloud-native solutions while operating in secure Azure Government environments.

You will drive data lakehouse architectures, support AI workloads, and mentor engineers across the data organization, ensuring scalable, secure, and compliant data flows for federal investigations and oversight missions.

Qualifications

• Bachelor's degree with extensive data engineering leadership experience.
• Proven ability to architect enterprise-scale data integration and ETL/ELT solutions.
• Deep expertise in Azure data services and cloud-native data pipelines.
• Strong hands-on data pipeline development with Python, SQL, PySpark.

Responsibilities

• Lead design, development, testing, and deployment of enterprise data pipelines.
• Oversee migration from legacy ETL tools to cloud-native platforms.
• Architect scalable integration patterns for batch, streaming, and metadata-driven pipelines.
• Lead production operations, monitoring, data quality, and SLA compliance.
• Collaborate with stakeholders to align data engineering with mission requirements.

Skills

Azure Data Factory

Azure Databricks

Python

SQL

PySpark

Delta Lake

Leadership

Cloud data engineering

Education

Bachelor's degree

Tools

Informatica PowerCenter

Informatica Data Quality

Azure Data Factory

Databricks

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Chief Data Engineer based in the United States.

This role provides technical leadership for an enterprise data platform supporting federal investigative, audit, and oversight missions. You'll architect and lead cloud-based pipelines that consolidate data from diverse investigative, government, and external sources. The position combines hands-on data engineering with architecture, modernization, governance, security, and team leadership. You'll drive the migration from legacy ETL technologies to modern cloud-native solutions and establish scalable integration patterns. Working in secure Azure Government environments, you'll help create authoritative datasets that support advanced analytics and AI applications. This is an opportunity to shape a large-scale data foundation for a mission-critical federal program while leading engineers through complex technical challenges.

Accountabilities:

• Lead the design, development, testing, and implementation of enterprise data ingestion and transformation pipelines that consolidate investigative records, hotline data, government datasets, and federal or commercial sources.
• Oversee migration from legacy Informatica PowerCenter, Informatica Data Quality, and on-premises Python solutions to modern cloud-based technologies such as Azure Data Factory and Databricks.
• Architect scalable data integration patterns supporting batch processing, incremental updates, streaming ingestion, metadata-driven pipelines, error handling, and monitoring.
• Lead production operations, automation, monitoring, reporting, performance optimization, failure remediation, data quality validation, and SLA compliance for data pipelines.
• Design integrations with data fabrics, Delta Sharing, APIs, secure file transfer mechanisms, and other data-sharing protocols while maintaining appropriate access boundaries and security.
• Coordinate phased data onboarding, including technical discovery, source-system analysis, data profiling, pipeline design, testing, and production deployment.
• Provide technical leadership for cloud analytics engineering, lakehouse architecture, and relational, graph, and geospatial data modeling.
• Optimize data platforms and pipelines for analytical and AI workloads, ensuring authoritative datasets are available for advanced analytics and model consumption.
• Lead and coordinate data engineering resources, including specialized support for complex analytical requirements, forensic data reconstruction, and challenging technical problems.
• Develop and maintain technical documentation covering data lineage, pipeline architecture, integration specifications, operational runbooks, and engineering best practices.
• Collaborate with government stakeholders, platform architects, AI engineers, and governance specialists to align data engineering with mission requirements, governance policies, and security standards.

Requirements

• Bachelor's degree with 15 years of experience in data engineering, data architecture, software engineering, or a related field; equivalent combinations include a Master's degree with 12 years, 21 years without a degree, or an associate degree with 17 years.
• Proven leadership experience architecting and delivering enterprise-scale data integration and ETL/ELT solutions, including experience leading data engineering teams.
• Deep expertise in cloud data engineering using Azure services such as Azure Data Factory, Azure Databricks, Azure Data Lake, and Azure Synapse, or equivalent AWS/GCP technologies.
• Strong hands-on experience developing data pipelines with Python, SQL, PySpark, and modern data integration frameworks.
• Strong understanding of lakehouse architectures and Delta Lake.
• Extensive experience with data architecture, data modeling, data quality, performance optimization, and production data pipelines operating at scale.
• Experience with legacy ETL platforms such as Informatica PowerCenter or Informatica Data Quality, including successful modernization or migration to cloud-native solutions, is preferred.
• Experience with government data fabrics, Delta Sharing, or federal data-sharing mechanisms in secure cloud environments such as Azure Government or AWS GovCloud is preferred.
• Background in federal government, law enforcement, investigative, or national security data environments is an advantage.
• Understanding of sensitive data handling, data governance, and compliance frameworks such as NIST 800-53 and FedRAMP is preferred.
• Strong technical leadership, communication, collaboration, problem-solving, and documentation skills.

Benefits

• Proposed salary range of $114,600--$252,100, with final compensation influenced by geographic location, contract requirements, experience, skills, education, and certifications.
• Full-time, regular employment.
• Hybrid work opportunity in Washington, DC, with remote work available from any U.S. state according to the source listing.
• Comprehensive healthcare benefits.
• Wellness programs and support.
• Financial and retirement benefits.
• Family support benefits.
• Flexible time-off options.
• Continuing education and learning and development opportunities.
• Opportunity to lead enterprise-scale cloud data engineering and modernization initiatives.
• Exposure to Azure Government, lakehouse architectures, AI-enabled analytics, data governance, and secure federal data environments.
• Leadership responsibility across complex data engineering resources and mission-critical technical initiatives.
• Opportunity to contribute to federal investigative, audit, oversight, and national security data capabilities.