Snowflake Data Modeler Architect

Bengaluru, KA, India

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Tietoevry

Tietoevry creates purposeful technology. With Nordic roots and global scale, we reinvent the world, transform business and progress society.

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Company Description

We are developers of digital futures! 
Tietoevry is a leading software and digital engineering services company with global market reach and capabilities. We provide customers across different industries with mission-critical solutions through our specialized software businesses* Tietoevry Care, Tietoevry Banking and Tietoevry Industry, as well as our digital engineering business Tietoevry Create. Our 16 000* talented vertical software, design, cloud and AI experts are dedicated to empowering our customers to succeed and innovate with the latest technology.

Tietoevry’s annual revenue for the continuing businesses* is approximately EUR 2 billion. The company’s shares are listed on the NASDAQ exchange in Helsinki and Stockholm, as well as on Oslo Børs. 
(www.tietoevry.com)

 

 

Job Description

Job Summary

We are seeking an experienced and detail-oriented Senior Data Modeler to lead the design and development of enterprise-grade data models for a modern cloud data platform built on Snowflake and Azure. The ideal candidate will have a strong foundation in data modeling best practices, hands-on experience with Medallion Architecture (Bronze, Silver, Gold layers), and a solid understanding of banking and financial services data. This is a key role responsible for ensuring data structures are scalable, reusable, and aligned with business and regulatory requirements.

Pre-requisites

  • 10+ years of experience in data modeling, data architecture, or data engineering roles.
  •  4+ years of experience modeling data in Snowflake or other cloud data warehouses.
  •  Strong understanding and hands-on experience with Medallion Architecture and modern data platform design.
  • Experience using data modeling tools (Erwin etc.).
  • Proficiency in data modeling techniques: 3NF, dimensional modeling, data vault, and star/snowflake schemas.
  • Expert-level SQL and experience working with semi-structured data (JSON, XML).
  •  Familiarity with Azure data services (ADF, ADLS, Synapse, Purview)

Key Responsibilities

  • Design, develop, and maintain data models that meet data processing, analytics, and reporting needs, with a specific focus on Snowflake data warehousing.
  • Lead the design and implementation of logical, physical, and canonical data models across enterprise data domains in Snowflake.
  • Architect data models for Bronze, Silver, and Gold layers as per the Medallion Architecture, ensuring performance, modularity, and reusability.
  •  Collaborate with data architects, engineers, and business analysts to translate business needs into scalable data models.
  • Drive data model governance, including standards, documentation, versioning, and review processes.
  • Conduct data profiling and gap analysis between source systems and target models.
  •  Participate in data integration efforts by providing source-to-target mappings and defining transformation rules.
  •   Build data model to support time travel kind of reporting
  •  Ensure compliance with data governance, data quality, and data security requirements.
  • Build models to support operational & analytical reports

 

Additional Information

At Tietoevry, we believe in the power of diversity, equity, and inclusion. We encourage applicants of all backgrounds, genders (m/f/d), and walks of life to join our team, as we believe that this fosters an inspiring workplace and fuels innovation. Our commitment to openness, trust, and diversity is at the heart of our mission to create digital futures that benefit businesses, societies, and humanity.

Diversity, equity and inclusion (tietoevry.com)

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Architecture Jobs

Tags: Architecture Azure Banking Data governance Data quality Data Warehousing Engineering JSON Security Snowflake SQL XML

Region: Asia/Pacific
Country: India

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