Data Architect (DMV Metro Area - Remote)

ICF is a rapidly growing entrepreneurial multi-faceted consulting company seeking a Data Architect. This resource lead the design and implementation of a robust scalable and secure data lake architecture to support advanced analytics and AI/ML initiatives to a government agency committed to improving child welfare. The ICF team performs custom software development analytics and maintenance on a suite of web-based applications and works closely with clients and other contractors to ensure the performance and reliability of public-facing mission-critical applications.

Based on your experiences and interests we may ask you as a technology professional to support growth-related activities including (but not limited to) RFI RFP prototypes and oral members are also expected to uphold and maintain appropriate certifications necessary for their practice expertise.

Job Location: This is a fully remote position; however the role is tied to the Washington DC Metro area due to team requirements. Occasional in-person meetings may be required. An in-person interview will be required and candidates must reside within 50 miles of the Washington DC Metro Area to be considered.

What youll be doing:

• Lead the architecture and design of an enterprise-scale AWS-based data lake and data integration ecosystem to support advanced analytics and AI/ML initiatives.
• Define and enforce data modeling metadata data lineage and data governance standards to support analytics and machine learning workflows
• Establish best practices in data architecture including schema design data normalization and optimal format selection (e.g. Parquet JSON)
• Work with cross-functional teams to define data ingestion transformation and curation strategies aligned with AI/ML use cases.
• Collaborate across teams to design scalable secure and cost-efficient data architectures that support analytics and machine learning needs.
• Guide the selection and use of AWS services (e.g. Glue S3 Lake Formation Redshift Athena Step Functions) and integration tools (e.g. Kafka Informatica Talend).
• Mentor technical teams on architectural standards data modeling practices and modern cloud-native data design patterns.
• Support project delivery on Data Lake Data Warehouse and BI projects for external and internal clients including partnering with ICF subject matter experts on project execution

What you must have:

• Bachelors degree (e.g. Computer Science Engineering or related discipline)
• 8 years of experience in data architecture data engineering or enterprise data management.
• 3 years of experience designing and implementing cloud-native data solutions in AWS including services such as Glue S3 Athena Redshift Lake Formation Step Functions and Lambda.
• Experience in data modeling metadata management and data governance frameworks.
• Understand ETLconcepts of data flow data enrichment data consolidation change data capture and transformation
• Hands-on experience architecting data lakes data warehouses and real-time data pipelines.
• Experience working with databases and BI tools such as Tableau PowerBI Microsoft SQL Server Reporting Services
• Proficiency in SQL Python and working knowledge of big data tools such as Spark Kafka or AWS Kinesis.
• Knowledge of DevOps tools like Jenkins/Git to assist development process
• Excellent communication and leadership skills; ability to collaborate across technical and non-technical teams.
• Must be able to obtain and maintain a Public Trust
• MUST RESIDE IN THE United States (U.S.) and the work MUST BE PERFORMED in the United States (U.S.) as this work is for a federal contract and laws do apply

What wed like you to have:

• Familiarity with data privacy security and compliance frameworks in regulated environments.
• Background in supporting data science BI or AI/ML product teams.
• AWS Certification (Solutions Architect Data Analytics or Big Data Specialty).
• Knowledge of integration tools such as Storm and Spark AWS Kinesis Kafka a plus
• Familiarity with multi-cloud environments (e.g. Azure or GCP) is a plus.

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Working at ICF

Pay Range - There are multiple factors that are considered in determining final pay for a position including but not limited to relevant work experience skills certifications and competencies that align to the specified role geographic location education and certifications as well as contract provisions regarding labor categories that are specific to the position.

The pay range for this position based on full-time employment is: