Job Description
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We are seeking a highly experienced
Lead Data Engineer
to drive the strategy, architecture, delivery, and optimization of enterprise-scale data platforms on Microsoft Azure. The ideal candidate will combine deep technical expertise with strong leadership, stakeholder management, and delivery governance capabilities to build scalable, secure, and cost-efficient data solutions.
Must-Have Skills n
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Strong expertise in
SQL, Python, and PySpark
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Extensive experience with
Azure Data Factory (ADF)
and
Azure Synapse Analytics
.
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Hands-on experience with
Delta Lake architecture
and modern data lakehouse implementations.
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Advanced knowledge of
Data Modeling
and
Data Warehousing
concepts.
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Robust exposure to the
Microsoft Fabric
ecosystem.
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Proven expertise in designing
cloud-native data architectures
and enterprise-scale solutions.
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Strong
design thinking
and problem-solving capabilities.
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Working knowledge of
CI/CD pipelines and DevOps practices
.
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Experience in
cloud cost optimization, performance tuning, and resource governance
.
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Key Responsibilities n
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Lead and own the
end-to-end delivery of enterprise data platforms
, including architecture, development, deployment, and optimization.
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Define and drive the
data platform roadmap
, ensuring alignment with business objectives and strategic priorities.
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Architect and govern scalable
data pipelines, data models, data warehouses, and lakehouse solutions
using Azure services.
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Provide technical leadership to Data Engineering teams through design reviews, code reviews,



and implementation of engineering best practices.
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Drive the adoption and implementation of
Microsoft Fabric, APIs, Azure Functions, and Python-based solutions
.
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Ensure platform scalability, reliability, security, and operational excellence while optimizing cloud costs.
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Establish and enforce
data governance, data quality, security, and compliance standards
.
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Implement and drive
CI/CD, DevOps, and Agile delivery practices
across the data engineering landscape.
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Collaborate with business stakeholders, architects, and technology teams to translate business requirements into scalable technical solutions.
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Mentor, coach, and develop Data Engineering talent, fostering a culture of continuous learning and innovation.
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Leverage
GitHub Copilot and AI-assisted engineering tools
to improve productivity and solution quality.
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Drive innovation by evaluating emerging technologies and identifying opportunities for platform modernization.
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Experience n
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10+ years
of overall IT experience, including
10+ years in Data Engineering
.
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Minimum
5+ years of leadership experience
managing large-scale Data Engineering programs and teams.
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Proven track record of leading cross-functional teams and delivering complex enterprise data transformation
initiatives.Experience
building, hiring, and scaling high-performing Data Engineering teams.
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Experience working within
multi-vendor and globally distributed delivery environments
.
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Strong experience in stakeholder management, delivery governance, and executive-level communication.
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Preferred Skills n
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Experience building and managing
enterprise APIs and Azure Function Apps
.
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Exposure to
framework-based data engineering development approaches
.
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Experience in
solution architecture, stakeholder engagement, and delivery governance
.
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Azure certifications such as:
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Azure Solutions Architect Expert
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Familiarity with
MLOps, Data Science, and AI-driven analytics solutions
.
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Hands-on experience with
Power BI
and enterprise reporting platforms.
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Experience leveraging
AI and Generative AI capabilities within Data Engineering ecosystems
.
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Strong ownership mindset with a focus on accountability and business outcomes.
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Excellent communication, stakeholder management, and influencing skills.
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Ability to balance
technical leadership with delivery and people management responsibilities
.
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Strategic thinker with a strong focus on execution excellence.
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Strong conflict resolution and cross-functional collaboration skills.
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Adaptability and resilience in fast-paced, evolving environments.
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Passion for mentoring teams and fostering a culture of innovation and continuous improvement.
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📌 Azure Data Engineer (Victoria)
🏢 CareCone Group
📍 Victoria