ICF
We are open to supporting 100% remote work anywhere within the United States. Must be able to support Eastern Time Zone
ICF is a rapidly growing, entrepreneurial, multi-faceted consulting company, seeking a Data Architect. The Data Architect will 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 presentations. Team members are also expected to uphold and maintain appropriate certifications necessary for their practice expertise.
What you’ll 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:
Bachelor’s degree. 7+ 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 ETL concepts 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 we’d 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 Google Cloud Platform) is a plus. We are an equal opportunity employer. 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 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. 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: $89,203.00 – $151,646.00 Nationwide Remote Office (US99)
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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:
Bachelor’s degree. 7+ 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 ETL concepts 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 we’d 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 Google Cloud Platform) is a plus. We are an equal opportunity employer. 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 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. 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: $89,203.00 – $151,646.00 Nationwide Remote Office (US99)
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