Job Title: Data Tech Lead – Azure & Databricks Platforms
Location:
Houston, Texas 77002
Duration: 06 Months Contract
Only on W2
Client:
SHELL Energy
Rate: $90-95/Hr on W2
Job Description:
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,g 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 a futuristic data
platform.
·Define
data product roadmaps and drive development of data solutionsusing thee 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.
4.
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.
·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 Power BI/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
Information
Locations Houston, Texas 77002Position Open to Only localsIndustry UtilitiesStatus OpenJob Age 2 Day'sCreated Date 06/15/2026No.of Positions 1Duration 6 MonthsZip Code 77002
