DevSecOps Engineer

Acuity INC

10d

About The Position

Acuity, Inc. seeks a Technical Team Lead to lead architecture, engineering, and delivery for a mission-critical enterprise analytics platform. This role drives the design and execution of scalable data and analytics solutions that deliver high-confidence, decision-grade insights across a complex, multi-source environment. The Technical Team Lead serves as the primary technical authority, combining hands-on engineering with delivery leadership. This individual sets technical direction, leads Agile execution, and drives high-quality outcomes across data engineering, analytics, cloud architecture, and platform operations. Are you ready to use your expertise in the areas of IT Modernization, Data Enablement, and Hyperautomation to make a real difference? Join Acuity, Inc., a technology consulting firm that supports federal agencies. We combine industry partnerships and long-term federal experience with innovative technical leadership to support our customers’ critical missions.

Requirements

8+ years of experience in technical leadership, solution delivery, or engineering management roles
Strong hands-on experience with Databricks, including data engineering, analytics workflows, and platform delivery
Proven experience designing, building, and operating enterprise data platforms in AWS
Demonstrated expertise in large-scale data processing, ETL/ELT pipelines, and data modeling
Experience implementing entity resolution, record linkage, or multi-source data integration solutions
Experience leading Agile execution, including backlog management, sprint execution, and delivery oversight
Strong understanding of data architecture, distributed processing, and performance optimization
Experience implementing CI/CD and DevSecOps pipelines for data and platform engineering
Ability to translate complex requirements into actionable technical plans and drive execution across teams
Experience working in fast-paced, mission-driven, multi-stakeholder environments
Bachelor’s degree, or equivalent relevant experience
Must be a U.S. Citizen with the ability to obtain and maintain U.S. suitability

Nice To Haves

Experience with Senzing or comparable entity resolution platforms
Experience with data governance, lineage, and cataloging frameworks, such as Unity Catalog or equivalent
Experience with both batch and streaming data architectures
Experience with containerization and orchestration, including Kubernetes
Experience with infrastructure as code and automated environment provisioning
Experience with platform monitoring, observability, and performance tuning for data-intensive systems
Experience using Jira, Confluence, or similar Agile delivery tools
Databricks Certified Data Engineer Associate
Databricks Certified Machine Learning Associate
AWS Certified Data Analytics – Specialty
AWS Certified DevOps Engineer – Professional
Certified ScrumMaster (CSM)
Certified Scrum Professional (CSP)
PMI Agile Certified Practitioner (PMI-ACP)

Responsibilities

Lead the architecture, design, and implementation of enterprise-scale data and analytics solutions using Databricks and AWS
Own and evolve data pipelines across ingestion, transformation, curation, and delivery for large-scale datasets
Lead implementation of entity resolution and data linking capabilities, including technologies such as Senzing or similar platforms
Establish and enforce standards for data quality, integrity, lineage, and traceability across integrated data sources
Serve as the primary technical point of contact, translating business and mission needs into delivery plans, architecture decisions, and actionable engineering tasks
Provide hands-on technical leadership through coding, design reviews, troubleshooting, and resolution of complex platform issues
Lead and mentor engineers, setting standards for engineering quality, data modeling, platform design, and technical execution
Manage Agile/Scrum delivery, including sprint planning, backlog refinement, dependency management, and progress tracking
Drive platform performance, scalability, resiliency, and operational stability across data pipelines and analytics workloads
Oversee AWS cloud architecture, including compute, storage, networking, and platform services that support the analytics environment
Implement and mature DevSecOps practices, including CI/CD pipelines, automated testing, release discipline, and secure deployment
Coordinate across stakeholders, product owners, and mission partners to align platform capabilities with evolving operational requirements
Enforce security controls, compliance requirements, and vulnerability remediation activities across the platform lifecycle