Database Consultant

Global Technical Talent, an Inc. 5000 Company; Springfield (MA); On-site; USD 180,000 - 200,000; Full time

Benefits offered by this job

Medical, Vision, and Dental plans

401k retirement fund

Job summary

Global Technical Talent is seeking a Database Consultant for a contract in Springfield, MA. You will design and build data pipelines, data models, and analytics architectures across cybersecurity and enterprise data platforms, aligning with risk priorities.

You will collaborate with cyber and data engineering teams to ingest, transform, and model security and IT datasets, delivering executive dashboards and operational reporting for leadership and governance forums.

Qualifications

• Design and build data pipelines, data models, and analytics architectures (batch/streaming).
• Partner with modern data platforms and tools like Databricks, Redshift, Snowflake, Alteryx.
• Strong coding in Python/SQL; assess sources, gaps and engineering approaches.

Responsibilities

• Define and deliver data-driven Cyber use cases aligned to risk priorities and frameworks (e.g., NIST CSF).
• Develop analytics products including dashboards and metrics for leadership and governance forums.
• Ingest, transform, normalize, and model security/IT datasets with data owners and platform teams.
• Prototype and productionize integrations across Cyber tools and enterprise data platforms.

Skills

Data pipelines

Data models

Analytics architectures

Python

SQL

Cross-team collaboration

Education

Bachelor's degree

Tools

Databricks

Redshift

Snowflake

Alteryx

Job description

• Work Authorization: Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Database Consultant

Location: Springfield, MA

Contract Details

• Position Type: Contract
• Contract Duration: 8 months
• Start: June 22, 2026
• Pay Rate: $87.85 / Hour (USD)
• Work Authorization: Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Key Responsibilities

• 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 productionize 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.

Required Skills

• 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.

Preferred Skills

• Cybersecurity certifications (e.g., CISSP, CISM) and/or data and analytics certifications (or equivalent advanced experience).
• Demonstrated experience applying advanced analytics techniques (e.g., predictive modeling, risk indicators, trend analysis) to Cybersecurity or technology risk problems.
• Experience incorporating or experimenting with AI-enabled analytics or development tools (e.g., Claude, AI code assistants, agent-based analytics) in a secure enterprise environment.
• Leadership experience as a technical lead, architect, or people manager within data, analytics, or Cyber practices.
• Strong proficiency with data visualization and BI tools (e.g., Tableau, Power BI) to deliver executive-ready, actionable insights.
• Deep understanding of the Cyber data domain, including the ability to map analytics and outcomes to frameworks such as NIST CSF and familiarity with MITRE ATT&CK.
• Experience working with enterprise data ecosystems, including data lakes, warehouses, and shared analytics platforms.
• Proven ability to operate as a consultative thought partner, shaping innovative use cases aligned to top Cyber risks and enterprise priorities.
• Track record of leading or delivering end-to-end data and analytics initiatives that materially improved Cyber risk management, visibility, or decision making.
• Exceptional communication skills with the ability to translate complex technical outputs into business and risk context for senior leaders and non-technical audiences.

Education Requirements

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

Required Experience

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

Benefits

• Medical, Vision, and Dental Insurance Plans
• 401k Retirement Fund

About the Client

Leading financial services company offering life insurance, disability income insurance, long-term care insurance, retirement planning, and annuities. Committed to corporate responsibility and creating an inclusive work environment.

Job Number: 26-06922 Industry: Software Engineering

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