Snowflake Expert Engineer

Nordea Bank Norge ASA; Town of Poland (NY); On-site; USD 130,000 - 160,000; Full time

Benefits offered by this job

Flexible working hours

Collaboration opportunities

Diversity and inclusion initiatives

Job summary

Nordea Bank Norge ASA is looking for an experienced data engineer to set technical standards for Snowflake transformations and lead governance initiatives. As part of a collaborative team, you will contribute to technical solutions that align with business requirements and mentor junior team members.

The ideal candidate has over 10 years of experience in data engineering, including significant experience with Snowflake, and possesses strong SQL skills and a deep understanding of data governance.

Qualifications

• 10+ years in data engineering, with at least 3 years Snowflake experience.
• Ability to design and lead technical solutions.
• Deep knowledge of Snowflake internals and data governance.

Responsibilities

• Set technical standards for Snowflake transformations.
• Contribute to requirement analysis and technical solutions.
• Mentor mid-level engineers and run design reviews.

Skills

Data engineering

Snowflake

SQL mastery

Governance

CI/CD

Financial services knowledge

Technical solution design

Education

SnowPro certification

Relevant bachelor's degree

Tools

Snowpark (Python or Scala)

Terraform

Airflow

Job description

Job ID: 4088

Welcome to Group Technology, where we pride ourselves on engineering solutions and direct Nordea’s transformation by providing a holistic technological view and structured understanding of the bank, and its surrounding environment to enable the Customer Vision and the Business Strategy.

Nordea is a tech employer on a mission to evolve finance securely and responsibly.

About our team

This is a depth role. While everyone on the team builds on Snowflake, you're the person who sets the standard — for transformation patterns, performance, governance, and platform decisions. You know Snowflake deeply enough to know which feature to use, which to avoid, and why. You make architectural calls before anyone writes code and align Technology Product lead, and you're still happy to sit with a junior engineer on their PR afterwards.

We work cross-functionally — senior engineers are expected to contribute across the full delivery lifecycle: from requirements elicitation and credit risk data domain understanding, through development and code review, to owning CI/CD standards and deployment practices for the team. You'll be joining a team that values knowledge sharing seriously — there's a strong culture of pairing, design reviews, and internal documentation. You'll both benefit from that and be expected to contribute to it.

Main responsibilities in this role:

• Set technical standards for Snowflake transformations — when to use Dynamic Tables vs Tasks vs stored procedures vs Snowpark, and the tradeoffs of each
• Deep dive into Data and come up with technical solutions to align with Business requirements
• Contribute to and review requirement analysis — bridge domain knowledge and technical implementation
• Deep-dive performance work: query profiling, micro-partition analysis, clustering design, warehouse rightsizing, spill elimination
• Lead governance: RBAC hierarchy, Database Roles, masking policies, row access policies, tag-based governance
• Design and evolve the data sharing architecture (Secure Views, Reader Accounts, cross-account sharing for downstream teams)
• Drive and own CI/CD standards for Snowflake: schemachange, Terraform, or equivalent integrated with Bitbucket/Jenkins
• Mentor mid-level engineers, run design reviews and brown-bags
• Partner with team lead on PI Planning, roadmap, and technical decisions

Who you are

Your background and skills include:

Must have:

• 10+ years in data engineering, with at least 3 years Snowflake at meaningful production scale
• Key understanding of Data knowledge and be able to perform Data analysis and be able to design and lead Technical solutions
• SnowPro Core certified; SnowPro Advanced: Data Engineer strongly preferred
• Deep SQL mastery: query plan interpretation, QUALIFY, MATCH_RECOGNIZE, recursive CTEs, advanced VARIANT/OBJECT/ARRAY handling, window functions, lateral joins
• Snowpark (Python or Scala) — knows when it's the right call and when SQL is better
• Strong grasp of Snowflake internals: micro-partitions, clustering, pruning, result caching, warehouse credit consumption
• Dynamic Tables, Streams, Tasks — has used all three in production and can articulate when each is appropriate
• Governance: RBAC, Database Roles, masking policies, row access policies
• CI/CD for Snowflake: schemachange, Terraform, or equivalent — owns it, doesn't just use it
• Financial services or banking domain knowledge — credit risk, finance, or regulatory reporting. At senior level, domain understanding directly influences architectural decisions

Nice to have:

• Credit risk functional knowledge
• Airflow in a Snowflake-heavy environment
• DataStage (legacy interop context)
• Snowflake Cortex, Snowpipe Streaming

Mindset:

• Comfortable working across the full delivery lifecycle — analysis, architecture, development, CI/CD, deployment
• Treats the platform as a product — reliability, cost, and developer experience all matter equally
• Documents decisions, not just code — architecture records, naming conventions, runbooks

Working with AI:

• Uses AI tooling confidently and sets an example for the team on how to do it well
• Understands context engineering — knows that good AI output starts with good context, and helps maintain the repo-level files that make that possible
• Tracks the market: aware of how AI tooling for data engineering is evolving and can have an informed opinion on what's worth adopting
• Recognises when AI-generated code is architecturally wrong even if it compiles — and explains why

What we offer

Collaboration. Ownership. Passion. Courage.

Hybrid working model

We believe in the value of bringing people together and at the same time we embrace the freedom of flexibility.

Disability and diversity inclusion

We know that an inclusive workplace is a sustainable one. We genuinely believe that our diverse backgrounds, experiences, characteristics and traits make us stronger together. Every day we strive to find new ways to improve diversity and inclusion within our community.

Only for candidates in Finland

A security clearance will be performed for the person selected for this position.

Only for candidates in Poland

In accordance with art. 6 (1) a and b. Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation) hereinafter ‘GDPR’. I agree to have: my personal data, education and employment history proceeded for the purposes of current and future recruitment processes in Nordea Bank Abp. The administrator of your personal data is: Nordea Bank Abp operating in Poland through its Branch, address: Aleja Edwarda Rydza Śmiglego 20, 93-281 Łodź. Your personal data will be processed for the recruitment processes in Nordea Bank Abp. You have a right to access your personal data, right to rectify and right to delete. Disclosing the personal data in the scope specified by the provisions of Polish Labour Code from 26 June 1974 and executive acts are mandatory. Providing personal data is necessary to conduct the recruitment processes. The request for the deletion of your personal data means resignation from further participation in recruitment processes and causes the immediate removal of your application. Detailed information concerning processing of your personal data can be found at: https://www.nordea.com/en/doc/nordea-privacy-policy-for-applicants.pdf