Data Engineer - Data Warehouse Architect

This position focuses on developing, implementing, and maintaining architecture solutions across a large enterprise data warehouse to support effective and efficient data management and enterprise-wide business intelligence analytics.

• Implement and optimize data pipeline architectures for sourcing, ingestion, transformation, and extraction processes, ensuring data integrity and compliance with organizational standards.

• Develop and maintain scalable database schemas, data models, and data warehouse structures; perform data mapping, schema evolution, and integration between source systems, staging areas, and data marts.

• Automate data extraction workflows and create comprehensive technical documentation for ETL/ELT procedures; collaborate with cross-functional teams to translate business requirements into technical specifications.

• Establish and enforce data governance standards, including data quality metrics, validation rules, and best practices for data warehouse design and architecture.

• Develop, test, and deploy ETL/ELT scripts using SQL, Python, Spark, or other relevant languages; optimize code for performance and scalability.

• Tune data warehouse systems for query performance and batch processing efficiency; apply indexing, partitioning, and caching strategies.

• Perform advanced data analysis, validation, and profiling using SQL and scripting languages; develop data models, dashboards, and reports in collaboration with stakeholders.

• Conduct testing and validation of ETL workflows to ensure data loads meet SLAs and quality standards; document testing protocols and remediation steps.

• Troubleshoot production issues, perform root cause analysis, and implement corrective actions; validate data accuracy and consistency across systems.

• Minimum of 3 years of experience in data analysis.

• Strong analytical and problem‑solving skills with attention to detail.

• Proficiency in SQL and ability to develop complex queries (e.g., multi‑join), tune performance, and troubleshoot.

• Experience with Unix/Linux shell scripting for ETL automation.

• Familiarity with database tools and platforms (e.g., Teradata, Oracle, Non‑Relational).

• Excellent verbal and written communication skills; ability to collaborate across all levels.

• Ability to prioritize and multi‑task in a fast‑paced environment.

• Knowledge of Java/J2EE, REST APIs, Web Services, and event‑driven microservices.

• Experience with Kafka streaming, schema registry, OAuth authentication.

• Familiarity with Spring Framework, GCP services, Git, CI/CD pipelines, containerization, and data ingestion/data modeling.

• Experience with Databricks concepts and terminology (e.g., workspace, catalog).

• Proficiency in Python and Spark.

• Background in architecting real‑time data ingestion solutions using microservices and Kafka.

ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting‑edge technology to help clients solve their most complex challenges, navigate change, and shape the future.

We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO policy.

We will consider for employment qualified applicants with arrest and conviction records.

Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email C and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

Read more about workplace discrimination rights or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act.

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