Quick overview
Job description
Competencies we are looking for:
- Degree in Computer Science or a related discipline, or equivalent practical experience
- Preferred Data Engineering Certification including certifications in Snowflake, Azure, or Databricks
- 3+ years hands-on Snowflake experience
- Deep expertise in designing and delivering cloud-based data architectures, with a strong focus on modern data warehousing
- Advanced proficiency in Snowflake, including data modelling, performance tuning, security and data sharing
- Strong capability in building and managing ETL/ELT pipelines using tools such as Apache Airflow, dbt, or similar
- Proven consulting capability—translating client needs into scalable, value-driven data solutions
- Excellent communication skills, with the ability to convey complex concepts to both technical and non-technical audiences
- Strong analytical thinking and problem-solving mindset
- Adaptable and forward-looking, with a passion for evolving technologies and practices in data engineering
- Collaborative approach, working effectively across multidisciplinary teams
- Strong organisational and time management skills, with the ability to balance multiple priorities
- Demonstrated leadership in guiding teams and influencing stakeholders
- High attention to detail, ensuring data quality, integrity, and accuracy across solutions
Roles & Responsibilities:
- Drive end-to-end delivery of modern, scalable data platform and warehouse solutions for clients.
- Design and architect robust data ecosystems using technologies such as Snowflake, AWS, Azure, and Databricks, ensuring performance, scalability, and maintainability.
- Provide strong hands-on technical leadership—guiding teams, setting engineering standards, and mentoring consultants to uplift capability across projects.
- Engineer, optimise, and govern data pipelines, models, and storage layers to support high-quality, reliable data outcomes.
- Partner closely with Data Governance and Reporting Principals to align architecture with enterprise data strategy and best practices.
- Contribute to solution design, scope technical engagements, and support pre-sales activities by shaping pragmatic, value-driven client proposals.
- Work collaboratively with cross-functional teams including data scientists, analysts, and business stakeholders to deliver impactful solutions.
- Translate complex technical concepts into clear, meaningful insights for both technical and non-technical audiences.
- Present confidently to clients and internal stakeholders through structured, concise reports and storytelling.
- Collaborate with project managers to ensure delivery remains on track, within scope, and aligned to budget expectations.
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