Architect-Business Analytics

Allianz Services; Pune District; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Allianz Services is seeking a Senior Data Architect to lead the data architecture for BMP onboarding and guide the local team toward the approved architecture.

The role requires proven skills in enterprise and solution architecture, with emphasis on Snowflake-centric data platforms and modern ELT/ETL frameworks using dbt. You will define strategies, models, and patterns that align with enterprise standards and data privacy considerations.

Qualifications

• Senior Data Architect with Snowflake and dbt expertise.
• Define and own end-to-end data architecture strategy aligned with standards and scalability.
• Design reference architectures for cloud-based data platforms (Snowflake-centric).
• Develop conceptual, logical and physical data models and artifacts.

Responsibilities

• Define and own the end-to-end data architecture strategy for BMP onboarding.
• Navigate and implement cloud-based data solutions with dbt for data transformation.
• Establish architectural principles, design patterns, and data standards across delivery teams.
• Drive ADRs and roadmap cloud-native data technologies and tooling.

Skills

Snowflake

dbt

Enterprise architecture

Solution architecture

Data modeling

ETL/ELT

Data governance

Cloud architecture

Stakeholder collaboration

Tools

dbt

Cloud platforms

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.
  

• 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.
  

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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.