About the Role
We are seeking a seasoned Technical Product Managerwith 10 + years of relevant experience who is:
- A blended hands-on Tech Lead & Product Manager role
- Bridging product strategy and technical execution
- Working on delivery of client data solutions (platforms, pipelines, ML enablement, engineering and data science) in a Databricks/Azure environment.
- Leading a small, stream-aligned team (3/4)
- Collaborates with Data Science complex subsystem team
- Coached/supported by Databricks enabling team
- Coached/supported by Product Management enabling team
- Supported by Data Architecture and Integration enabling team
Preferred Skills & Experience (or equivalent aptitude)
1. Strong Technical Acumen
- Databricks or similar workflows e.g. notebooks, Delta Lake, job orchestration, cluster management
- Development in languages such as Python, SQL, C#, javascript etc.
- Data architecture concepts (e.g. medallion architecture, data contracts, ETL)
- ML workflows (e.g. feature engineering, model lifecycle, ML flow)
- Cloud platforms (ideally Azure), Databricks hosting
- Continuous Deployment, Trunk-Based Development, Synchronous quality gates (4-eyes), “Automate everything” / ”shift-left” mindset. Infrastructure-as-Code (Terraform)
- Understanding of data architecture approaches including data fabric and data mesh
- Lead teams to create robust o11y and practice basic SRE
2. Product Management Skills
- Prioritising business value, data-driven decision-making and product-led thinking
- Translate business needs into clear, actionable requirements
- Aligning short-term delivery with long-term vision
- Comfortable driving discovery and delivery cycles
3. Cross-functional Collaboration
- Ability to work closely with data engineers, data scientists, and software engineers, effective collaboration with business stakeholders and clients
- Advocate for self-service tooling, highly autonomous delivery teams and consuming Platform-as-a-Product
4. Communication & Leadership
- Documenting decisions, sharing product direction clearly
- Leading low ceremony, high-ownership teams
- Data-driven decision making (e.g. DORA metrics)
5. Bonus Points
- DataOps/MLOps (e.g., CI/CD for notebooks, model versioning, data lineage)
- Experience of data governance and compliance management
- Consulting or client-facing delivery
- Tools like dbt, Airflow, Power BI, or similar
Disclaimer:
This job posting is not open to recruitment agencies. Any candidate profile submitted by a recruitment agency will be considered as being received directly from an applicant. Contango reserves the rights to contact the candidate directly, without incurring any obligations or liabilities for payment of any fees to the recruitment agency.