We are looking for a
Data & Analytics Technical Lead to provide hands-on technical leadership in the design, delivery, and operation of modern enterprise data solutions.
This role is for someone who enjoys staying close to the technology. You will translate business requirements and architectural direction into robust, production-ready solutions while guiding the team through complex technical decisions.
You will work at the intersection of data engineering, analytics, architecture, artificial intelligence, and operations to develop reliable, scalable, and sustainable solutions.
Responsibilities :- Lead the design, development, and production deployment of modern data and analytics solutions.
- Translate business requirements and architectural direction into practical, scalable, and maintainable technical solutions.
- Design and optimize data ingestion, transformation, and integration pipelines, ensuring performance and reliability.
- Provide technical direction to engineers, lead design and code reviews, and help resolve complex technical challenges.
- Ensure solution quality and reliability by incorporating best practices in data quality, security, governance, metadata, and lineage.
- Partner closely with architecture teams to evolve platforms and engineering practices based on business and technical needs.
- Improve automation, DataOps practices, and development and deployment processes.
- Mentor engineers, share best practices, and contribute to strengthening the team's technical expertise.
Qualifications :- Bachelor's degree in Computer Science, Software Engineering, Engineering, Data Science, or a related field, or an equivalent combination of education and experience.
- Minimum of 7 years of relevant experience in data engineering, analytics, or data solution development, including experience in technical leadership.
- Strong hands-on experience with SQL, Python, Snowflake, and Power BI, as well as delivering production-grade data solutions.
- Experience with data orchestration, ingestion, transformation, and integration technologies.
- Strong understanding of CDC (Change Data Capture), incremental processing, data pipelines, and data modelling.
- Ability to diagnose and resolve complex integration, data quality, performance, and reliability issues.
- Strong communication skills with the ability to clearly explain technical decisions to both technical and non-technical stakeholders.
Assets :- Experience with Dagster or similar orchestration platforms, SQL Server, modern ELT/ETL approaches, and metadata-driven ingestion.
- Experience with dimensional and physical data modelling, semantic layers, and Power BI development.
- Knowledge of DataOps and DevOps practices within data and analytics environments.
- Strong technical expertise combined with a pragmatic, hands-on leadership style and the ability to solve complex technical challenges.
- A collaborative approach with sound technical judgment, a focus on quality and reliability, and the ability to guide, challenge, and empower engineers.
English proficiency is required to effectively support and collaborate with English-speaking colleagues and business partners as part of the responsibilities of this position.
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Thank you for your interest in joining our team. Please note that we will only contact those whose applications are being considered.
