Principal Data Engineer HR Analytics

TekWissen LLC

Frisco, TX

JOB DETAILS
SALARY
$43–$43
SKILLS
Artificial Intelligence (AI), Benchmarking, Best Practices, Data Analysis, Data Management, Data Modeling, Data Sets, DevOps, Diversity, HRIS/HRMS, Human Resources Analytics, Identify Issues, Information Architecture, Information Technology & Information Systems, Large-Scale Systems, Leadership, Mentoring, Microsoft Product Family, Needs Assessment, On Call, Power BI, Python Programming/Scripting Language, SQL (Structured Query Language), ServiceNow, Snowflake Schema, Streaming Technology, Talent Management, Technical Leadership, Workforce Management
LOCATION
Frisco, TX
POSTED
5 days ago
Overview:
TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. Our client provider of digital technology and transformation, information technology and services
Position: Principal Data Engineer HR Analytics
Location: Frisco, TX
Duration: 12 Months
Job Type: Temporary Assignment
Work Type: Hybrid
Job Description:
  • The Principal Data Engineer is the senior most delivery engineer on the HR Analytics team and serves as the in region engineering peer to the Information Architect and Principal Data Engineer (India).
  • This is a hands on technical leadership role responsible for building the most complex, high impact HR data products end to end from engaging with HR executives to understand business needs, through data ingestion and transformation across Snowflake and Databricks, to delivering certified datasets in Microsoft Fabric and Power BI.
  • The role sets the engineering benchmark for the team, mentors senior engineers, partners on platform decisions, and represents HR Analytics engineering in enterprise forums.
Key Responsibilities:
  • Own end to end delivery of complex HR Analytics data products
  • Engage with HR executives and senior stakeholders to translate business needs into technical solutions
  • Design and implement data pipelines across:
  • Snowflake (including Iceberg)
  • Databricks (Delta Lake)
  • Microsoft Fabric semantic layer
  • Deliver certified datasets and visualizations in Power BI
  • Define and maintain engineering standards and best practices
  • Partner with the Information Architect on platform architecture, governance, and pattern definition
  • Act as primary US engineering lead for high impact delivery commitments
  • Provide technical leadership and guidance to senior and mid-level data engineers
  • Drive cross-region collaboration with the India team for seamless delivery
  • Troubleshoot and resolve complex engineering challenges
  • Represent HR Analytics engineering in enterprise-level discussions
  • Mentor and develop senior engineering talent
How the Role Operates:
  • Acts as the senior-most US engineering voice for critical initiatives
  • Works as a peer partner with:
    • Information Architect (architecture decisions)
    • Principal Data Engineer (India) (cross region delivery)
Engages directly with:
  • HR VPs and executives
  • Analytics leadership
  • Leads by example with hands-on coding, modeling, and data product delivery
  • Drives engineering excellence through practical implementation
  • Team Structure & Working Model
  • Global HR Analytics team across Country & India
Structure:
  • Information Architect Architecture ownership
  • Principal Data Engineers Engineering leadership & delivery
  • Senior / Data / Associate Engineers Execution
Delivery flow:
  • Business need Design Ingestion Transformation Semantic layer Power BI
  • Operates in a DevOps model:
  • Engineers own production data products
  • On call rotation shared across team
Required Qualifications
  • 10+ years of experience in Data Engineering / Data Platform Engineering
  • Experience in Principal / Lead engineering role on enterprise data platforms
  • Strong hands-on expertise in:
  • Databricks (Delta Lake)
  • Snowflake (including Iceberg)
  • Microsoft Fabric
  • Proficiency in:
  • PySpark
  • Spark SQL
  • Python
  • Experience building end-to-end data pipelines and data products
Strong knowledge of:
  • Data modeling
  • Lakehouse architecture
  • Data transformation frameworks
  • Experience working with enterprise data systems and large-scale platforms
  • Ability to engage with senior business stakeholders and translate technical solutions
  • Proven experience mentoring and leading senior engineers
Preferred Qualifications
  • Experience in HR Analytics domain (Workforce, Talent, Compensation, etc.)
  • Exposure to Workday, ServiceNow, or similar HR systems
  • Experience with streaming technologies
  • Familiarity with enterprise data platforms and large-scale analytics environments
  • Experience supporting AI/ML or advanced analytics workloads
  • Exposure to Power BI semantic models and reporting
TekWissen Group is an equal opportunity employer supporting workforce diversity.

About the Company

T

TekWissen LLC

WE THE TEKWISSEN PEOPLE

TekWissen offers you a broader portfolio of services, industry-leading solutions, and the meaningful innovations that give you greater flexibility and speed to respond to market dynamics, reduced costs and risk to improve enterprise performance, and increased productivity to enable growth.

To keep pace with global market demands, TekWissen keeps its finger on the pulse of change. Our organized approach to guiding a project from its inception to closure. Managing projects is becoming more and more important as we enter the digital era. To cope with the pace that this transition demands, a method is required to manage projects so they can yield quality work, while incorporating efficient use of time and resources.

Project involves identifying which quality standards are relevant to the project and determining how to satisfy them.

It is important to perform quality planning during the Planning Process and should be done alongside the other project planning processes because changes in the quality will likely require changes in the other planning processes, or the desired product quality may require a detailed risk analysis of an identified problem. It is important to remember that quality should be planned, designed, then built in, not added on after the fact.

Capabilities and accomplishments in one TekWissen business enhance the opportunity for success in the others. Put simply, TekWissen's unique combination of attributes promotes success.



COMPANY SIZE
100 to 499 employees
INDUSTRY
Computer/IT Services
FOUNDED
2009
WEBSITE
http://www.tekwissen.com/