Data Engineering Technical Lead

TX-HHSC-DSHS-DFPS•Austin, TX

12d•Onsite

About The Position

The Data Engineering Technical Lead will support development tracks to develop and deliver data pipelines for a complex data analytics platform and provide production support for existing data pipelines in production. This individual will participate in data acquisition and data integration strategic initiatives and workgroups. The job requires building relationships with business stakeholders, understanding the needs of business and building solutions to meet those needs. The Technical Lead leads the design and assigns work to the development team members and supports the timely delivery of the deliverable in an agile framework. This requires the lead to coordinate all aspects necessary to deliver the development work by the end of the planned delivery timeline, including environment preparation, data loads, testing, user acceptance testing, code deployment, etc. The technical lead will support production by triaging any issues and coordinating the response. The position will provide guidance and hands-on engagement to analyze, design, build, validate, and development projects for data analytics. The technical lead will drive data quality initiatives and ensure the platform is reliable and trustworthy. This individual ensures design documents are complete and correct, attends discovery sessions, and leads design sessions, and may provide consulting on complex projects. This person demonstrates an understanding of core acquisition, ingestion and transformation services, (including cloud-based), and can apply proven practices to data analytics solutions, data acquisition designs, and implementations with proficiency in developing, deploying, and debugging systems. The lead will have a solid understanding of agile methodologies. They will act independently or as a member of a workgroup or project team and possess solid technology skills. This position requires knowledge of enterprise architecture domains and the following enterprise architecture disciplines: data and security. Must be willing to work from an HHS office located in Austin, designated by the hiring manager.

Requirements

Knowledge and hands-on experience of the limitations and capabilities of computer systems, information technology equipment, applicable programming languages, computer hardware and software, and computer operating systems.
Knowledge of Data Governance tools like Informatica Enterprise Data Catalog, Axon or similar tools from other Industry providers.
Knowledge of new cloud technologies and the analytical services available from the major cloud services providers.
Knowledge of cloud delivery models: PaaS, SaaS, IaaS.
Knowledge of agile (scrum/Kanban) methodology and ceremonies.
Knowledge of cloud-based services for AWS, Microsoft Azure or GCP.
Knowledge of AI technologies and experience implementing AI features.
Skills with data engineering, including acquisition/ETL tools such as Informatica PowerCenter, IDQ, and cloud technologies like Open Flow, DBT, Informatica IICS etc.
Skills and experience acquiring data from multiple data sources/technologies for use by data visualization tools like Tableau and Power BI. Technologies should include Snowflake and others such as Oracle, SQL Server, Microsoft Excel, Postgres, Mongo DB, sales force etc.
Strong analytical and problem-solving skills with experience as a technical lead for software development, data analytics, performance management system, or data warehousing project.
Strong technical writing and diagraming skills, including proficiency with modeling and mapping tools (e.g., Visio, Erwin), the Microsoft Office Suite (Word, Excel, PowerPoint, and MS Project).
Skill analyzing technology systems capabilities, limitations, defects, and business problems to draw evidence-based conclusions and devise innovative solutions.
Skills with JIRA software
Ability to work under pressure and successfully manage multiple overlapping deadlines, and able to handle multiple cross-agency projects.
Ability to produce reliable, accurate, high-quality results.
Ability to be adaptable and learn quickly.
Ability to deliver work within defined schedules, cost and quality.
Ability to coordinate multiple assignments, set priorities, and meet deadlines.
Ability to communicate with a high level of effectiveness both verbally and in written formats.
Ability to lead the creation of best practices and procedures.
Bachelor's or master's degree in the areas of computer science, math, or a related field, or equivalent experience.
At least three (3) years of experience leading a data engineering team focused on Enterprise Analytics projects is required.
At least five (5) years of experience handling enterprise level data sets using Snowflake, Oracle, SQL Server, or an equivalent database system, is required.
Proficient in scripting using Python preferred.
Experience in implementing data pipelines using Informatica PowerCenter/IICS/ Informatica Data Quality (IDQ) preferred.

Nice To Haves

Candidates with experience in building data pipelines in any of the major public clouds will be preferred.
Candidates with AWS and cloud certifications will be preferred.
Candidates with AI Knowledge will be preferred.

Responsibilities

Serves as a technical lead focused on acquiring, transforming and delivering data to the users of the analytics platform. Work involves planning, assigning and tracking the work of the development team to deliver data analytics pipelines and coordinating all tasks necessary to accomplish the work. Ensures that designs comply with data security requirements for each category of data contained in a solution.
Serves as the point of contact for business users. Communicates project status and issues. Answers questions about schedule and functionality. Coordinates scheduling with customer representatives as needed. Attends meetings to understand current and upcoming challenges.
Participates in analyzing systems and procedures, documenting requirements, analyzing the current state and desired state of data acquisition/transformation solutions, identifies gaps between the two states.
developing or revising existing code; scheduling, testing, installing, and implementing systems; writing or revising standards and procedures.
Leads and coordinates production support efforts for a critical system to ensure any incidents are investigated and resolved timely, while keeping key stakeholders informed and ensuring the solution meets all requirements for data security and data quality.
Participates as a consultant and subject matter expert during project development and planning stages of data acquisition/transformation initiatives that cross functional agency systems, other IT groups and other state entities that require coordinating, planning, and scheduling. Provides options in the determination and implementation of optimal solutions.
Performs other duties as assigned.

Benefits

comprehensive benefits package includes 100% paid employee health insurance for full-time eligible employees
defined benefit pension plan
generous time off benefits
numerous opportunities for career advancement

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