Technical Team Lead
Listed on 2026-05-20
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IT/Tech
Data Engineer
Overview
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.
Benefits- Strong work‑life balance and a people‑first culture
- Competitive compensation + Health/Dental/Vision coverage
- 401(k) with company match
- Up to $6,000/year for training & professional development
- 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 Dev Sec Ops 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
- 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 Dev Sec Ops 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
- 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 Dev Ops Engineer – Professional
- Certified Scrum Master (CSM)
- Certified Scrum Professional (CSP)
- PMI Agile Certified Practitioner (PMI‑ACP)
- Must be a U.S. Citizen with the ability to obtain and maintain U.S. suitability
Acuity is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
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