Sr Data Tech Lead - Trading and Supply Freight Data Platform

Engineers and Constructors International Inc.; Georgia; On-site; USD 140,000 - 170,000; Full time

Job summary

Engineers and Constructors International Inc. is seeking a Sr Data Tech Lead for the Trading and Supply Freight Data Platform on a Houston-based contract. The role covers end-to-end leadership across architecture, governance, and capability development, with a focus on high-volume data delivery and cost optimization.

The candidate will drive data ecosystems, roadmaps, and stakeholder engagement, leveraging AI-augmented pipelines and modern data tools to enable scalable, reliable data solutions.

Qualifications

• Extensive experience in data engineering and analytics platforms.
• Strong SQL, Python, and Spark/Scala capabilities.
• Experience with Azure data stack and Databricks required.
• Knowledge of data governance and metadata management.

Responsibilities

• Lead data architecture, governance, and capability development across platforms.
• Define data product roadmaps and drive data solution development.
• Oversee data modelling, performance tuning, and data quality controls.
• Guide CI/CD, deployment, and orchestration for data pipelines.
• Collaborate with PMs, BAs, and stakeholders to align data initiatives.

Skills

Azure Data Engineering

SQL

Python

Spark/Scala

Databricks

Data Modeling

CI/CD

Kubernetes

Docker

Data Governance

Leadership

Stakeholder Mgmt

Education

Bachelor's degree in Computer Science or related field

Tools

SAP PowerDesigner

WizDesign

Unity Catalog

Job description

Join the ECI Group’s Professional Technical Services Network as a contract _ Sr Data Tech Lead - Trading and Supply Freight Data Platform _. This is a Houston based contract role with an anticipated 6-month duration with an estimated start date of July 1st.**Note: You must be a US Citizen or Permanent US Resident to qualify for this position.

About the Role**

As a Data Tech Lead, you will provide end-to-end leadership across architecture, engineering, governance, and capability development.
You will:

• Deliver sustainable and innovative solutions to unlock value from data.
• Lead the architecture, Design and implementation of on-premises/cloud-based application development and Data solutions.
• Engage cross-functional teams to support project stakeholders in delivering data scope and operational excellence.
• Drive governance, metadata management, Data Modelling, cost optimization, high-volume performance tuning and agility in delivery.
• Engage effectively with senior leadership, resolve conflicts proactively, and represent the data organization with confidence and clarity.
  Key Responsibilities
  Leadership & Strategy
• Drive the architecture, design, and delivery of Data ecosystems for futuristic data platform.
• Define data product roadmaps and drive development of data solution using approved tech stack and related technologies.
• Align data engineering initiatives with long-term business and technology strategies.
• Provide technical leadership to ensure adherence to best practices, standards, and quality expectations.
  Technical Oversight
• Lead data modelling and architecture using tools such as SAP PowerDesigner and WizDesign.
• Develop and optimize intelligent, AI‑augmented data pipelines across ADF, ADLS, Databricks, DLT, and Structured Streaming to enable high‑performance data delivery.
• OLTP schema design, normalization, indexing strategy, Performance tuning for transactional systems
• Transaction management, concurrency, deadlocks
• PostgreSQL, MySQL, SQL Server expertise (depending on Shell standards)
• Optimize Databricks workloads with a strong focus on performance and cost efficiency.
• Implement robust security, governance, lineage, and metadata controls using Unity Catalog.
• Troubleshoot pipeline issues, ensure high data quality, and enforce SLA compliance.
  Governance & Quality Assurance
• Establish data governance frameworks covering security, privacy, quality, and lifecycle management.
• Monitor pipeline performance and lead root cause analysis for data and process issues.
• Drive CI/CD and touchless change management frameworks to enable seamless deployments.
  Stakeholder Management
• Collaborate closely with PMs, BAs, Data Scientists, Architects, and business stakeholders.
• Translate complex technical concepts into business terms for executive audiences.
• Resolve conflicts and ensure alignment across strategic priorities.
• Stakeholder management & executive communication
  Required Skills & Experience
  Technical Expertise
• 12–17 years of experience in data engineering, data architecture, or analytics platforms.
• Deep expertise in:
  • Azure Data Engineering (ADF, ADLS, Databricks, , DLT), AZURE Function, SQL, REST/FAST API, LogicApps
  • Databricks Delta Live Tables & Structured Streaming
  • Unity Catalog governance and lineage
• Strong hands‑on skills in SQL, Python, Spark/Scala.
• Strong experience in data modeling, data architecture, and metadata management.
• CI/CD for application delivery (Azure DevOps/GitHub Actions)
• Containerization (Docker), Kubernetes basics
• API gateway, reverse proxies, load balancing
• Solution Data Architecture, Data Modeling tools like SAP PowerDesigner, BiZ Design
  AI & Future-Ready Skills
• Working knowledge of AI/ML, GenAI, Agentic AI, and applying AI for data engineering automation.
• Ability to envision and build future‑ready, scalable data ecosystems.
  Soft Skills / Leadership Competencies
• Proven ability to lead mid‑sized to large technical teams.
• Strong decision‑making capabilities backed by data.
• Exceptional communication and executive presentation skills.
• Conflict management and stakeholder alignment experience.
• High accountability, ownership, and ability to drive independent outcomes.
• Adaptability and continuous learning mindset.
  Nice to Have
• Experience with Kafka, Hadoop, Spark Streaming.
• Experience with workflow tools like Airflow, Azkaban, Luigi.
• Knowledge of PowerBI/QlikSense visualizations.
• Certifications in Azure Data Engineer, Databricks, AI/ML, or Data Science.
• Experience with GitHub/Azure DevOps, CI/CD, Agile/Kanban methodologies.
• Understanding of Freight Domain like Voyage Management, Chartering, Freight Pricing, Demurrage, Laytime, Port calls, Vessel scheduling
• Integration with RightAngle, Endur, Veson IMOS or internal Shell Freight systems
• Knowledge of T&S business processes
  Please Note: The ECI Group uses AI-assisted tools in the early stages of application review, with all decisions guided by human oversight and fully compliant with General Data Protection Regulation (GDPR) and ECI Group’s applicable data protection policies and Privacy Notice.