Data Tech Lead

Data Tech Lead
6-Month Contract
Visa : USC and GC
Location : Houston, TX (hybrid, local or at 50 miles distance)
UPS (United Parcel services)

Note : Updated LinkedIn and recent short projects

Are you ready to take ownership of building cutting-edge data ecosystems and leading high-performing teams? We're looking for a Data Tech Lead to drive end-to-end delivery across architecture, engineering, governance, and capability development.

This is a strategic leadership role where you'll shape the future of data platforms and enable data-driven innovation at scale.


What You'll Do
Lead the architecture, design, and delivery of modern data platforms across cloud and on-prem environments
Build scalable, high-performance data solutions that unlock business value
Drive data governance, metadata management, and data modelling best practices
Partner with cross-functional teams to deliver end-to-end data initiatives
Champion cost optimisation, performance tuning, and agile delivery
Engage senior stakeholders, influence decisions, and represent data strategy with clarity


Key Responsibilities

Leadership & Strategy
Define and deliver data product roadmaps aligned to business goals
Provide technical leadership, ensuring adherence to best practices and standards
Drive long-term data engineering and architecture strategy

Technical Oversight
Lead data architecture and modelling (e.g. SAP PowerDesigner, BiZ Design)
Build and optimise AI-augmented data pipelines using:
Azure Data Factory (ADF), ADLS, Databricks, Delta Live Tables, Structured Streaming
Design robust OLTP systems (schema design, indexing, performance tuning)
Work across PostgreSQL, MySQL, SQL Server
Implement governance, security, and lineage using Unity Catalog
Troubleshoot pipelines and enforce data quality and SLAs

Governance & Quality
Establish frameworks for data security, privacy, and lifecycle management
Drive CI/CD and automated deployment practices
Monitor and optimise pipeline performance

Stakeholder Management
Collaborate with Product Managers, Business Analysts, Data Scientists, and Architects
Translate complex technical concepts into clear business outcomes
Build alignment and resolve challenges across stakeholders


Skills & Experience

Technical Expertise
12–17 years in data engineering, architecture, or analytics platforms
Deep experience with:
Azure (ADF, ADLS, Databricks, DLT, Azure Functions, Logic Apps)
SQL, Python, Spark / Scala

REST APIs / FastAPI
Strong background in data modelling and architecture frameworks
Experience with CI/CD (Azure DevOps, GitHub Actions)
Knowledge of Docker, Kubernetes basics, API gateways, and load balancing

AI & Future-Ready Skills
Exposure to AI/ML, GenAI, Agentic AI
Passion for building future-ready, scalable data ecosystems

Leadership & Soft Skills
Proven experience leading medium to large technical teams
Strong decision-making and problem-solving ability
Excellent communication and stakeholder management skills
Ability to operate independently with high ownership and accountability
Adaptable, with a continuous learning mindset


Nice to Have
Experience with Kafka, Hadoop, Spark Streaming
Workflow orchestration tools (Airflow, Luigi, Azkaban)
BI tools like Power BI or Qlik Sense
Certifications in Azure, Databricks, or AI/ML
Exposure to logistics, trading, or freight-related domains