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Kentro · 11 hours ago

Senior Data Solutions Architect

United States

Full-time

Remote

Senior Level, Lead/Staff

8+ years exp

Kentro is a company focused on innovation and collaboration in advancing customer missions. They are seeking a Senior Data Solutions Architect to integrate data strategies into IT ecosystems, manage data architectures, and partner with engineering teams to deliver effective solutions.

Information Technology & Services

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Lead the architecture and design of enterprise-scale data lakes, integration ecosystems, and modern data warehouses using Databricks, Microsoft Fabric, Azure (Data Lake Storage/Synapse), and AWS (S3/Redshift/Glue)

Develop cohesive end-to-end architecture blueprints that translate business strategy into actionable, scalable, and secure data roadmaps

Design and implement hybrid and multi-cloud data solutions, ensuring seamless interoperability between AWS and Azure environments to suit client needs

Select and implement analytics services and big data frameworks to enable AI/ML and business intelligence workloads

Partner with sales and capture teams to develop solution strategies, craft compelling RFP/RFI responses, and shape competitive bid approaches for federal and commercial pursuits

Support pre-sales activities by demonstrating how architectural innovation and modernization deliver measurable business value to prospective clients

Develop Proofs of Concept (POCs) and feasibility studies to validate architecture decisions during the proposal phase

Design and document controls aligned with security and compliance controls aligned with NIST SP 800-171 (CUI handling) and FedRAMP (NIST SP 800-53) requirements

Define and enforce data modeling, metadata, lineage, and governance standards using tools such as Azure Purview or Unity Catalog

Produce and maintain documentation (System Security Plans, data flow diagrams) required for Authority to Operate (ATO) and compliance audits

Ensure all solution designs strictly adhere to federal acquisition regulations and security standards

Design and manage complex data ecosystems and orchestration layers, ensuring seamless data flow and lifecycle management across APIs, event streaming (Kafka, Event Hubs Kinesis), and secure data exchange across disparate systems, organizations, and classification levels

Mentor development teams and engineers on architectural standards, data modeling practices, and modern cloud-native design patterns

Collaborate with cross-functional teams (data scientists, BI analysts, security officers) to ensure data solutions meet mission requirements

Qualification

DatabricksMulti-Cloud ProficiencyFederal FrameworksHybrid Data SolutionsSQLPythonBig Data FrameworksVisualization PlatformsPre-SalesCommunication

Required

Education: Bachelor's degree (BA/BS) in Computer Science, Information Systems, Engineering, or a related field

Experience: 8+ years of progressive experience in data architecture, data engineering, or enterprise data management

Databricks Authority: Strong, hands-on experience designing and managing Databricks environments (Lakehouse architecture, Unity Catalog, Delta Live Tables)

Multi-Cloud Proficiency: Strong understanding and demonstrated experience with both AWS (Glue, Redshift, Athena, S3) and Azure (Synapse, Data Factory, Data Lake Storage)

Programming & Visualization: Proficiency in SQL, Python, UML, big data frameworks (Spark), and visualization platforms (Tableau, PowerBI)

Federal Frameworks: Deep understanding of Federal Government Frameworks, specifically NIST SP 800-171, NIST SP 800-53, CMMC, and FedRAMP compliance

Demonstrated ability to design and implement hybrid and multi-cloud data solutions

Pre-Sales: Experience supporting proposal development, technical writing for RFPs, and pre-sales solutioning and basis of estimate labor estimations

Communication: Exceptional written and oral presentation skills; ability to articulate technical concepts to both technical and non-technical stakeholders

Ability to obtain and maintain a Public Trust (or higher) clearance

Must be a U.S. citizen residing in the United States

Preferred

Certifications: Databricks Certified Data Engineer/Architect, Azure Solutions Architect Expert, or AWS Certified Data Analytics

Experience with 'Tool Agnostic' approaches in a federal consulting environment

Background supporting AI/ML pipelines (Azure Machine Learning, Databricks ML)

Experience implementing or documenting security controls aligned to NIST SP 800-171 and NIST SP 800-53 (FedRAMP), including contributions to ATO artifacts (SSP inputs, control narratives, evidence collection); direct familiarity with CMMC Level 2 requirements is a plus

Experience and desire to act as the primary technical point of contact for the Kentro-Databricks partnership, ensuring our team is connected for opportunities, tracking the technical roadmap for Databricks, and Kentro utilizes the latest features and best practices to drive value