Director of Data Engineering (Senior Public Service Administrator, Option 1)

State of Illinois•Chicago, IL

9d•Onsite

About The Position

The Department of Innovation & Technology (DoIT) is seeking a qualified candidate to serve as the Director of Data Engineering, supporting the Department of Early Childhood (IDEC). This role ensures that clean, organized, and timely data is available to downstream users. The Director will design, develop, evaluate, and maintain scalable data pipelines and infrastructure for analytics, reporting, and business intelligence. Responsibilities include directing, planning, and managing the Data Engineering Section's database and infrastructure management programs. This position is a full-line supervisor, responsible for assigning and reviewing work, providing guidance and training, preparing evaluations, and monitoring timekeeping.

Requirements

Requires knowledge, skill, and mental development equivalent to completion of four (4) years of college with coursework in business or public administration, data science, data engineering, analytics, or a directly related field.
Requires prior experience equivalent to four (4) years of progressively responsible administrative experience in public or business organization in data science, data engineering, education policy, statistics, or economics.
Requires three (3) years of professional supervisory experience in a large organization.
Requires the ability to verify identity.
Requires employment authorization to accept permanent full-time position with the State of Illinois.
Requires the ability to pass a position specific, agency required background check and requires self-disclosure of criminal history.
Requires a valid driver’s license and the ability to travel, including occasional overnight stays.
Requires the ability to use agency supplied equipment such as laptop, personal computer, work cell phone, etc.
Requires the ability to work outside of normal hours to meet deadlines.
Requires the ability to work overtime including scheduled, unscheduled, short notice, evening, weekends, and holidays.
Requires adherence to the revolving door restrictions outlined in 5 ILCS 430/5-45.
Requires compliance with the provisions outlined in section 4A-101 of the Illinois Governmental Ethics Act, necessitating the occupant of this position to file of a Statement of Economic Interest.

Nice To Haves

Five (5) years of professional experience designing and developing complex structured and unstructured data architectures and ETL/ELT pipelines using Python, Structured Query Language (SQL), Databricks, and Data Build Tool (DBT), including managing cloud-based platforms (e.g., Amazon Web Services [AWS], Azure, or Google Cloud) and implementing scalable storage and computing solutions that support analytics and downstream users.
Five (5) years of professional experience overseeing and maintaining enterprise ETL/ELT transformation models, modular DAG workflows, incremental processing strategies, and semantic layer configurations.
Five (5) years of professional experience applying data modeling, governance, quality assurance, cataloging, and lineage practices, including supporting Batch, Near Time, or Real Time Streaming data processes, including those that leverage built-in Artificial Intelligence (AI)/Machine Learning (ML) models, to maintain data accuracy, consistency, integrity, and compliance with applicable privacy and security requirements.
Five (5) years of professional experience designing and maintaining data lakes/warehouses (e.g., SQL Server. Databricks, Snowflake, Startburst, BigQuery or Azure Fabric/Synapse).
Four (4) years of professional experience building normalization and aggregation views in a medallion architecture for consumption in GIS systems, Agency portals, Reports, and interactive dashboards (Including Tableau and PowerBI), that contribute to improving decision-making, transparency, and verifying timely mandated report submissions.
Four (4) years of professional experience modernizing data infrastructure to automate and improve performance, reliability, efficiency, and cost-effectiveness, including data quality profiling, error handling and alerting, performance monitoring, troubleshooting, and optimizing data workflows and distributed processing.
Four (4) years of professional experience developing electronic step-by-step procedures for pipelines, architectures, or workflows, including onboarding staff, supporting audits and quality control, and collaborating on privacy training and awareness programs.
Two (2) years of professional experience leading teams in delivering CI/CD frameworks, including schema design, managing branching strategies, managing incremental strategies, workflow triggers, automated testing, deployment gates, and production change management to support reliable and reproducible data engineering operations.
Two (2) years of professional experience maintaining compliance in firms with regulatory oversight, with requirements under Family Educational Rights and Privacy Act (FERPA), Health Insurance Portability and Accountability Act (HIPAA), General Data Protection Regulation (GDPR), Children’s Online Privacy Protection Act (COPPA), or similar state or federal policies, including implementing encryption, role-based access controls, and breach notification procedures.
Master’s Degree with coursework in one or more of the following: Information Management, Data Science, Data Analytics, Computer Science, Data Engineering, Information Systems, or similar directly related degrees.

Responsibilities

Serves as the Director of Data Engineering for the Department of Innovation & Technology (DoIT) supporting the Department of Early Childhood (IDEC), verifying that clean, organized, and timely data is available to downstream users, including designing, developing, evaluating, and maintaining scalable data pipelines and infrastructure to support analytics, reporting, and business intelligence needs.
Directs, plans, and manages DoIT/IDEC Data Engineering Section databases and infrastructure management programs, including collaborating with DoIT and other stakeholders on various projects, using existing cloud-based data platforms (e.g., Amazon Web Services (AWS), Azure, IBM, CloudPad, Google Cloud).
Directs, plans, and manages agency Data Engineering integration functions, including collaborating with agency executive leadership and DoIT data scientists, analysts, and software engineers to create trusted, high-quality, and scalable data systems.
Serves as a full-line supervisor.
Performs other duties as required or assigned which are reasonably within the scope of the duties enumerated above.

Benefits

Competitive Group Insurance benefits including health, life, dental and vision plans.
Flexible work schedules (when available and dependent upon position).
10 -25 days of paid vacation time annually (10 days for first year of state employment).
12 days of paid sick time annually which carry over year to year.
3 paid personal business days per year.
13-14 paid holidays per year dependent on election years.
12 weeks of paid parental leave.
Pension plan through the State Employees Retirement System.
Deferred Compensation Program – voluntary supplemental retirement plan.
Optional pre-tax programs -Medical Care Assistance Plan (MCAP) & Dependent Care Assistant Plan (DCAP).
Tuition Reimbursement Program and Federal Public Service Loan Forgiveness Program eligibility.