Data Visualization / Business Intelligence (BI) Engineer

SiloSmashers•Arlington, VA

1d•Onsite

About The Position

SiloSmashers, Inc. is hiring a lead Data Visualization / Business Intelligence (BI) Engineer to support a government customer. The role is responsible for architecting, designing, developing, governing, and sustaining high-impact dashboards, analytic visualizations, and decision-support experiences across a Databricks-enabled unified data platform and approved BI tools. The selected candidate will serve as the lead technical authority for enterprise BI solutioning, including semantic modeling, metric-layer design, and secure publishing of dashboards and insights to stakeholders. The BI Engineer will collaborate with the Project Manager / Contractor Lead, federal technical teams, and cross-task platform, SRE, governance, privacy, and development personnel to ensure visualizations are accurate, performant, secure, and compliant across platforms and integrations, including Power BI and Databricks Dashboards. The position requires regular, physical attendance at customer sites and availability to the customer by telephone from 0900 to 1700 EST, Monday through Friday.

Requirements

Ability to obtain and maintain a Public Trust clearance.
At least five years of experience building and operating production-grade visualizations or dashboards, including at least four years within the last six years, using at least two of the following: Power BI, Tableau, Kibana/Elastic, Databricks Dashboards, or custom web UI dashboards such as React, Vue, or D3.
Bachelor's degree in information systems, computer science, engineering, analytics, or a related field, or eight years of total equivalent experience in lieu of a degree.
At least one required certification: Microsoft Power BI Data Analyst Associate (PL 300) or successor; Tableau Certified Data Analyst, or Tableau Desktop Specialist plus demonstrable experience; Elastic Certified Analyst (Kibana); or Qlik Sense Business Analyst (QSBA).
Demonstrated hands-on experience with SQL queries and medallion data patterns (bronze/silver/gold), including authoring SQL views and BI-ready tables that conform to governance and privacy controls.
Demonstrated proficiency with Git-based workflows such as GitHub Enterprise or Azure DevOps for BI assets, including versioning datasets, dashboards, and deployment scripts.
Regular, physical attendance at customer sites.

Nice To Haves

Databricks Lakehouse Fundamentals or Databricks SQL credentials.
Databricks Data Engineer Associate or Professional certification for candidates with strong data-modeling responsibilities.
Cloud certifications, such as AWS or Azure associate-level certifications relevant to BI or data services.
Familiarity with declarative bundles or CI/CD for promoting BI assets across development, test, and production environments.

Responsibilities

Serve as the principal BI and visualization authority, owning end-to-end dashboard design patterns, accessibility and usability standards, data-to-visual mapping, and visual QA processes.
Design and deliver BI solutions using platforms such as Power BI, Tableau, Kibana, and Databricks Dashboards.
Author governed semantic models, calculation logic, and BI-ready datasets sourced from Lakehouse tables and Databricks SQL Warehouses; implement row- and column-level security and governed tags via Unity Catalog.
Establish patterns for incremental refresh, Direct Query or Live connections, and aggregation tables to balance freshness, performance, and cost.
Partner with Data Engineering to enforce medallion architecture conventions and ensure upstream tables and views meet BI performance and governance requirements, including schema stability and expectations or quality checks.
Coordinate with Privacy and Governance teams to enforce Unity Catalog RBAC/ABAC, governed tags, lineage capture, and data-sharing rules within BI tools and export pathways; ensure PTA/PIA/SORN considerations are reflected in visualization features and sharing modes.
Provide operational support and incident response for BI assets, including root-cause analysis of refresh or query failures, change-related regressions, and access issues; maintain runbooks, monitoring, and alerts for dataset, warehouse health, and usage.
Lead stakeholder enablement through demos, office hours, and training on dashboard usage and interpretation; maintain data dictionaries, metric definitions, and usage guides.
Mentor BI engineers and analysts and enforce BI quality gates, including peer reviews, DAX/SQL test coverage, visualization accessibility checks, and reproducible deployments consistent with program DevSecOps practices.
Be available to the customer by telephone between 0900 and 1700 EST, Monday through Friday.