Database Consultant

Ampcus Inc; Springfield (MA); On-site; USD 130,000 - 170,000; Full time

Job summary

Ampcus Inc. is seeking an experienced data analytics leader to partner with Cybersecurity leaders and risk stakeholders to define and deliver data-driven use cases aligned to enterprise risk priorities.

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

Qualifications

• Bachelor’s degree in a relevant field.
• 8 years of experience in Cybersecurity, risk, or technology domains, with data engineering/analytics.
• Experience designing data pipelines and analytics architectures.
• Proficiency with Databricks, Redshift, Snowflake, Alteryx or equivalent technologies.
• Strong coding in Python and SQL.

Responsibilities

• Define and deliver data-driven Cyber use cases aligned to enterprise risk priorities and frameworks.
• Leverage scalable data pipelines, models, and architectures for Cyber analytics, AI, reporting, and risk insights.
• Work with data owners and platform teams to ingest, transform, normalize, and model security and IT datasets.
• Develop analytics products including executive dashboards, metrics, and operational reporting for leadership and governance forums.
• Prototype and productionize integrations across Cyber tools and enterprise data platforms.

Skills

Python

SQL

Data engineering

Data analytics

Data architecture

Communication

Leadership

Education

Bachelor's degree

Tools

Databricks

Redshift

Snowflake

Alteryx

Job description

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.

Role Impact & 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.

Skills: Minimum Qualifications

• 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.

Preferred Qualifications

• 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 Telecommunication&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.

Since 1995, iTech Solutions Inc., has been providing IT Consulting and Direct Hire Services to the Insurance, Financial, Communications, Manufacturing and Government sectors with local offices in Connecticut, Minnesota, Colorado, Massachusetts, Tennessee, North Carolina, and New Jersey / Pennsylvania area.

Our recruiting strategy is simple, if you want to find qualified IT professionals then use IT professionals to find them. So at iTech Solutions, our personnel are all career IT professionals with a wide range of IT experience. We can honestly say our staff understands the technologies, the complexities of finding and selecting the appropriate personnel and the pressures of running successful IT projects.

Employer will not sponsor applicants for any employment visas, at hiring or in the future, including but not limited to H-1B visas. Corp-to-Corp or subcontract personnel will not be considered for this position.

iTech Solutions, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identify, national origin, age, protected veterans or individuals with disabilities.