Senior Data Architect (DMV Metro Area - Remote)
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Job Summary:
ICF is a rapidly growing, entrepreneurial consulting company, seeking a Data Architect. This role involves leading the design and implementation of a robust data lake architecture to support advanced analytics and AI/ML initiatives for a government agency focused on improving child welfare.
Responsibilities:
• 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.
Qualifications:
Required:
• Bachelor’s 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 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.
Preferred:
• 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.
Company:
ICF is a global consulting and technology services provider focused on making big things possible for our clients. Founded in 1969, the company is headquartered in Fairfax, Virginia, USA, with a team of 5001-10000 employees. The company is currently Public Company.
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Mid-Senior level
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