Database Consultant

Our excellent client is looking for a Database Consultant for a 12 Months+ W2 HYBRID contract in Springfield, MA OR New York, NY. MUST BE ABLE TO WORK ON OUR W2. NO AGENCIES.

Key responsibilities include:

Partner with Cybersecurity leaders, risk stakeholders, and non-Cyber teams to define and deliver data-driven Cyber use cases, aligned to enterprise risk priorities and frameworks (e.g., NIST CSF).

Leverage scalable data pipelines, models, and architectures that enable Cyber analytics, AI, reporting, and advanced use cases across vulnerability management, threat exposure, control effectiveness, and risk insights.

Work directly with data owners and platform teams to ingest, transform, normalize, and model security and IT datasets, ensuring data quality, lineage, and trust.

Develop and operationalize analytics products including executive dashboards, strategic metrics, and operational reporting for leadership, governance forums, and front-line Cyber teams.

Prototype and product ionize integrations across Cyber tools and enterprise data platforms, partnering closely with data engineering and architecture teams to ensure sustainability, performance, and supportability.

Apply advanced analytics, data modeling, and automation techniques to translate raw Cyber telemetry into actionable outcomes, risk indicators, and decision support.

Leverage AI-assisted development and analytics workflows (e.g., Claude, code-generation tools, AI-augmented analysis) to accelerate engineering, insight generation, and experimentation-while operating within established security and data governance controls.

Translate complex technical findings into clear, consumable narratives for executive and non-technical stakeholders, connecting analytics outputs directly to Cyber risk, business impact, and outcomes.

Serve as a thought partner and technical advisor, helping shape the Cyber data strategy, architecture direction, and future-state analytics capabilities.

Bachelor's degree in a relevant field (e.g., Computer Science, Data Engineering, Analytics, Information Security, or equivalent experience).

8+ years of experience working in Cybersecurity, risk, or technology domains, with deep hands-on experience in data engineering, analytics, or data architecture.

Demonstrated experience designing and building data pipelines, data models, and analytics architectures, including batch and/or streaming patterns.

Practical experience partnering with or working on modern data platforms and tools such as Databricks, Redshift, Snowflake, Alteryx, or equivalent technologies.

Working knowledge of Cybersecurity domains, including data privacy, data protection, and core security concepts (e.g., vulnerabilities, threats, controls, risk).

Strong coding proficiency (e.g., Python, SQL) with the ability to assess multiple data sources and determine feasibility, data gaps, and engineering approaches to support Cyber use cases.

Experience collaborating closely with data engineering, platform, and architecture teams to ensure long-term operability and support.

DATA ENGINEERING | DATA ANALYTICS | DATA ARCHITECTURE | DESIGNING DATA PIPELINES | BUILDING DATA MODELS

Bachelor's Degree