Lead Data Engineering Architect

Job Description

Lead the design and delivery of scalable data platforms and pipelines, combining technical expertise, architecture, mentorship, and strategic leadership to enable trusted, high-performing, data-driven decisions.

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What You'll Do:

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Shape the future of data engineering by leading the architecture, development, and delivery of scalable data platforms, pipelines, and analytical solutions. You’ll turn complex data challenges into reliable, high-performance solutions that create meaningful business impact.

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Your responsibilities will include:

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• Lead the design and development of scalable ETL/ELT pipelines and modern data platforms.
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• Define engineering standards, architecture patterns, development methodologies, and best practices.
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• Build and optimise data warehouses, data lakes, and lakehouse solutions.
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• Champion data quality, security, governance, availability, and performance.
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• Lead architecture reviews, technical discussions, code reviews, and solution design sessions.
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• Mentor data engineers and promote strong engineering practices across the team.
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• Establish effective monitoring, testing, documentation, CI/CD, and deployment processes.
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• Troubleshoot complex pipeline, performance, infrastructure, and data issues.
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• Evaluate emerging technologies and recommend solutions that balance innovation, scalability, and cost.
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• Partner with Data Scientists, BI Developers, Analysts, Software Engineers, Product Managers, and business stakeholders.
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• Drive continuous improvement across data architecture, engineering processes, productivity, and technical debt.
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• Support cloud-based initiatives while ensuring robust, scalable, and cost-effective solutions.
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Why Join Us:

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This is an opportunity to combine hands-on engineering with genuine technical leadership. You’ll have the influence to shape data architecture, establish engineering standards, mentor talented professionals, and deliver platforms that directly support business growth and smarter decision-making.

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About You:

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• You’re an experienced data engineering professional with7+ years of relevant experience and at least2 years leading or mentoring engineering teams . You bring strong SQL and programming skills, extensive ETL/ELT experience, and a solid understanding of data modelling, warehousing, distributed systems, and scalable data processing.
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• You’re comfortable working with cloud platforms and modern technologies such as Spark, Kafka, Airflow, Databricks, Snowflake, BigQuery, or equivalent solutions. You understand software engineering practices including version control, CI/CD, automated testing, and deployment.
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• You’re also a confident technical leader who can communicate complex ideas clearly, collaborate across disciplines, solve challenging problems, and make pragmatic architectural decisions.
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