Chief Data Architect at WiSC Enterprises

Job description

The Chief Data Architect leads the design and implementation of enterprise data architecture and big data solutions supporting mission and operational objectives. This role provides technical leadership for large-scale data integration, analytics, visualization, and data engineering initiatives. • Define and implement enterprise Big Data architecture frameworks. • Translate mission and operational requirements into data systems, analytics, and visualization solutions. • Design scalable data architectures supporting structured, semi-structured, and unstructured data environments. • Guide engineering teams in developing data-centric solutions and analytic platforms. • Support data ingestion, management, transformation, and visualization initiatives. • Collaborate with multidisciplinary teams to extract operational insights from large and complex datasets. • Develop strategies for managing high-volume and high-velocity data environments, including real-time data feeds. • Experience designing and implementing Big Data architecture frameworks. • Experience translating mission needs into data system and analytics requirements. • Experience managing and integrating large-scale structured, semi-structured, and unstructured datasets. • Experience supporting data visualization and analytic solution development. • Strong understanding of enterprise data engineering and architecture principles. • TS/SCI Poly • Experience supporting intelligence community or federal data modernization initiatives. • Experience with cloud-based big data ecosystems and enterprise analytics platforms. • Strong leadership and stakeholder engagement capabilities. • Advanced degree in Data Science, Computer Science, Engineering, or related field. Benefits: • Competitive Salary • Generous PTO • Medical, Dental, and Vision coverage • 401k contribution • Tuition Reimbursement

Requirements

Must-haves

Define and implement enterprise Big Data architecture frameworks.
Translate mission and operational requirements into data systems, analytics, and visualization solutions.
Design scalable data architectures supporting structured, semi-structured, and unstructured data environments.
Guide engineering teams in developing data-centric solutions and analytic platforms.
Support data ingestion, management, transformation, and visualization initiatives.
Collaborate with multidisciplinary teams to extract operational insights from large and complex datasets.
Develop strategies for managing high-volume and high-velocity data environments, including real-time data feeds.
Experience designing and implementing Big Data architecture frameworks.
Experience translating mission needs into data system and analytics requirements.
Experience managing and integrating large-scale structured, semi-structured, and unstructured datasets.
Experience supporting data visualization and analytic solution development.
Strong understanding of enterprise data engineering and architecture principles.
Experience supporting intelligence community or federal data modernization initiatives.
Experience with cloud-based big data ecosystems and enterprise analytics platforms.
Strong leadership and stakeholder engagement capabilities.
Advanced degree in Data Science, Computer Science, Engineering, or related field.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Platform: icims
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Pto