Senior Data Architect

Allianz Services; Pune District; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

Allianz Services in Pune is seeking an experienced Data Platform Solution Architect to lead the enterprise data platform transformation. You will rapidly assimilate a complex platform, define target-state architecture, and guide the team through delivery and future evolution.

The role requires hands-on architectural guidance and close collaboration with senior engineers and stakeholders. The ideal candidate has 12+ years in data engineering/architecture with strong Azure, Databricks, and

Qualifications

• Experience designing enterprise-scale data platforms end-to-end.
• Strong Python and SQL skills.
• Deep knowledge of Azure cloud services and data governance.
• Ability to translate requirements into architectural decisions.

Responsibilities

• Assess current platform state across layers and components.
• Define target-state architecture.
• Design the architectural roadmap for platform transformation.
• Translate business and data requirements into architectural decisions.
• Provide hands-on architectural guidance to engineering teams.
• Identify architectural risks, dependencies, and trade-offs.
• Define integration patterns, data flow designs, and governance standards.
• Establish architecture principles, design patterns, and platform standards.
• Collaborate with governance, business, and technology stakeholders.
• Support migration planning for workload migrations across platform.
• Drive decisions on platform tooling, infrastructure, and service selection.

Skills

Python

SQL

ETL/ELT

CI/CD

DevOps

Terraform

Docker

Kubernetes

Azure

Azure Synapse Analytics

Databricks

Delta Live Tables

Unity Catalog

Azure Purview

Data Governance

Tools

Azure Synapse Analytics

Databricks

Delta Live Tables

Unity Catalog

Azure Purview

Terraform

Docker

Kubernetes

Job description

Role Overview

We are looking for an experienced Data Platform Solution Architect to join an existing enterprise data platform team. The role requires the ability to rapidly assimilate a complex, partially implemented platform — understanding what has been built, what remains, and what needs to evolve — and to translate that into a clear, actionable architecture that guides the team through current delivery and the next stage of platform transformation. This person will work closely with senior engineers and stakeholders, providing the architectural vision and technical direction needed to complete ongoing work and design the path forward.

Key Responsibilitie

• sRapidly assess and develop a deep understanding of the current platform state across all layers and components, working alongside the existing engineering tea
• mDefine and own the target-state architecture, bridging the gap between what is currently implemented and what needs to be completed or evolve
• dDesign the architectural roadmap for the next stage of platform transformation, ensuring continuity with current investments while enabling future scalabilit
• yTranslate business and data requirements into architectural decisions, reference designs, and technical standard
• sProvide hands-on architectural guidance to engineering teams on a day-to-day basis — not limited to design documents but actively engaged in deliver
• yIdentify architectural risks, dependencies, and trade-offs across the platform and recommend mitigation strategie
• sDefine integration patterns, data flow designs, and governance standards across source ingestion, transformation, and consumption layer
• sEstablish and enforce architecture principles, design patterns, and platform standards across the tea
• mCollaborate with data governance, business, and technology stakeholders to align platform direction with enterprise requirement
• sSupport migration planning by defining target architectures, transition states, and validation strategies for workload migrations across platform
• sDrive decisions on platform tooling, infrastructure, and service selection in alignment with cloud and enterprise architecture standard

Core Technical S

• esignProven experience designing enterprise-scale data platform architectures end-to-end — from source ingestion through to consum
• ptionDeep understanding of medallion / lakehouse architecture patterns (Raw / Harmonized / Conformed / Consump
• tion)Strong knowledge of data modelling approaches: relational, dimensional, and lakehouse-ori
• entedExperience designing data governance architectures: lineage, data quality frameworks, audit and control patterns, SCD versioning
• , CDCAbility to design for both batch and real-time data processing at
• scaleExperience architecting parallel-run and phased migration strategies across plat
• e of:Azure Synapse Analytics (Pipelines, Spark Pool, Dedicated SQL
• vicesOracle Golden Gate or equivalent real-time replication pat
• ternsPower BI and semantic layer d
• esignDatabricks & Lake
• houseHands-on experience with Azure Databricks (Delta Live Tables, Unity Catalog prefe
• rred)Strong understanding of Databricks platform capabilities: Delta Lake, Spark-based transformation, workflow orchestration, gover
• nanceExperience designing migration architectures from legacy data warehouse or Synapse environments to Databricks Lake
• houseAbility to architect governance and control frameworks natively within Datab
• uctureStrong Azure cloud architecture skills — security, networking, scalability, and cost optimi
• zationExperience with Infrastructure as Code (Terraform pref
• erred)CI/CD and DevOps practices for data platform delivery (Azure DevOps / GitHub Ac
• tions)Containerization and compute management (Docker, Kubernetes awar
• eness)Data Engineering
• DepthSufficient hands-on engineering background to engage credibly with senior engineers on implementation dec
• isionsStrong Python and SQL skills — able to review, challenge, and contribute to code where nec
• essaryExperience with ETL/ELT frameworks, pipeline design patterns, and performance optimization at

Nice

• to HaveExperience with Unity Catalog and Azure Purview for enterprise data gov
• ernanceExposure to real-time and streaming architectures (Event Hub / Kafka / K
• inesis)Familiarity with MLOps and GenAI platform integration p
• atternsExperience with monitoring and observability frameworks (e.g., Dyn
• atrace)Background in financial services or other regulated ind

Experience &

• Profile12+ years of experience in Data Engineering and/or Data Architecture, with at least 4–5 years in a solution or platform archit
• ect roleProven experience joining mid-flight programmes — able to quickly understand existing implementations and make sound architectural decisions without starting from a bla
• nk slateTrack record of delivering architecture across complex, multi-layer data platforms in enterprise envi
• ronmentsStrong ability to balance pragmatism with rigour — delivering architecture that works for the team today while keeping the longer-term directi
• on soundExcellent communication and stakeholder management skills — able to present technical architecture clearly to both engineering teams and non-technical stak
• eholdersCollaborative by nature — this is a working architect role embedded with the team, not a remote advisory
• positionExperience working in regulated or enterprise-scale environments (financial services