Architect-Business Analytics

Allianz

Pune District

On-site

INR 3,000,000 - 4,800,000

Full time

14 days+

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Job summary

Allianz is seeking a Senior Data Architect in Pune to lead end-to-end data architecture initiatives, focusing on Snowflake-centric platforms, dbt-based ELT/ETL, and data modeling across ingestion, transformation, storage and consumption layers.

The role requires alignment with enterprise standards, scalability, and GDPR/data privacy considerations, while enabling effective collaboration with stakeholders and delivering architectural guidance.

Qualifications

  • Define and own the end-to-end data architecture strategy.
  • Design reference architectures for cloud-based data platforms (Snowflake-centric).
  • Develop conceptual, logical and physical data models.
  • Architect data warehouse solutions with Data Vault 2.0 and dimensional modeling.

Responsibilities

  • Lead industrialized ELT/ETL frameworks using dbt-based orchestration.
  • Establish architectural principles, design patterns and data standards.
  • Review architecture with delivery teams and ensure compliance with ADRs.
  • Guide local team towards agreed architecture and collaborate with stakeholders.

Skills

Data architecture
Solution architecture
Stakeholder collaboration
Data privacy awareness

Tools

Snowflake
dbt

Job description

  • Senior Data Architect with Snowflake & dbt knowledge who can help them with architecture for BMP onboarding and steer local team towards agreed architecture.
  • Proven skills in enterprise & solution architecture.
  • Define and own the end-to-end data architecture strategy, ensuring alignment with enterprise standards, scalability requirements, and long-term business goals.
  • Navigates, recommends, and implements cloud-based data solutions and can work on modern tools like DBT for data transformation.
  • Design reference architectures and solution blueprints for cloud-based data platforms (Snowflake-centric), covering ingestion, transformation, storage, and consumption layers.
  • Develop Conceptual, Logical and Physical Data Models and related artefacts to specified standards.
  • Architect data warehouse solutions applying industry patterns — including Data Vault 2.0, dimensional modelling (Kimball), historization (SCD Type 1/2), persistent staging areas, and change data capture (CDC).
  • Design repeatable, industrialized ELT/ETL frameworks leveraging dbt for transformation orchestration; define integration patterns for ingesting data from heterogeneous source systems.
  • Establish architectural principles, design patterns, naming conventions, and data standards; conduct architecture reviews and ensure compliance across delivery teams.
  • Assess, recommend, and roadmap cloud-native data technologies and tooling; drive architectural decisions with documented ADRs (Architecture Decision Records).
  • Evaluates the business units for existing inefficiencies and bottlenecks and to develop and maintain protocols for handling, processing, and cleaning data.
  • Understanding of data privacy regulations (such as GDPR) and ethical considerations in handling sensitive customer data and their historization.
  • Ability to work as an individual contributor and effectively collaborate with Stakeholders.


[please translate into your local language]

104286 | Data & AI | Management | Non-Executive | Allianz Services | Full-Time | Permanent

Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us.

At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. And the foundation for this is our inclusive workplace, where people and performance both matter, and nurtures a culture grounded in integrity, fairness, inclusion and trust.

We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.

Great to have you on board. Let's care for tomorrow.

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