Architect-Data Engineer

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Pune, MH, IN, 411014

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.

Rapidly assess and develop a deep understanding of the current platform state across all layers and components, working alongside the existing engineering team

Define and own the target-state architecture, bridging the gap between what is currently implemented and what needs to be completed or evolved

Drive non-functional requirements — scalability, availability, performance, security, and resilience — into platform design

Design the architectural roadmap for the next stage of platform transformation, ensuring continuity with current investments while enabling future scalability

Translate business and data requirements into architectural decisions, reference designs, and technical standards

Provide hands-on architectural guidance to engineering teams on a day-to-day basis — not limited to design documents but actively engaged in delivery

Evaluate and select technologies, tools, and vendors, with clear trade-off analysis.

Champion automation, self-service, and infrastructure-as-code to reduce operational friction

Identify architectural risks, dependencies, and trade-offs across the platform and recommend mitigation strategies

Define integration patterns, data flow designs, and governance standards across source ingestion, transformation, and consumption layers

Establish and enforce architecture principles, design patterns, and platform standards across the team

Collaborate with data governance, business, information security, enterprise architecture and technology stakeholders to align platform direction with enterprise requirements

Support migration planning by defining target architectures, transition states, and validation strategies for workload migrations across platforms

Drive decisions on platform tooling, infrastructure, and service selection in alignment with cloud and enterprise architecture standards

Design and implement enterprise-scale data platform architectures from ingestion to consumption using Lakehouse/Medallion architecture principles.

Strong expertise in data modelling, data governance, data quality, lineage, CDC, SCD, audit, and control frameworks. Experience with Unity Catalog and Azure Purview for enterprise data governance.

Architect scalable batch and real-time data processing, ETL/ELT frameworks, migration strategies, and performance optimization.

Hands-on experience with the Azure Data Platform, including Azure Synapse Analytics, ADLS Gen2, Delta Lake, Azure Analysis Services, Oracle GoldenGate (or equivalent), and Power BI semantic models.

Extensive experience with Azure Databricks, including Delta Lake, Delta Live Tables, Unity Catalog, Spark, workflow orchestration, governance, and Lakehouse migration.

Strong Azure cloud architecture expertise covering security, networking, scalability, resilience, and cost optimization.

Experience with Infrastructure as Code (Terraform preferred), CI/CD and DevOps practices using Azure DevOps/GitHub Actions, and container technologies (Docker/Kubernetes).

Strong hands-on engineering background with advanced Python and SQL skills, capable of reviewing, optimizing, and contributing to implementation decisions.

Define and implement operational excellence practices including environment management (DEV/UAT/PROD), monitoring & alerting, vulnerability management, and incident/problem management.

Establish comprehensive testing frameworks, including unit testing, data reconciliation, smoke testing, and end-to-end validation for data pipelines.

Provide technical leadership through architecture reviews, code reviews, mentoring, and implementation governance to ensure adherence to enterprise standards.

Define agentic integration patterns to enhance data ingestion options

Exposure to real-time and streaming architectures (Event Hub / Kafka / Kinesis)

Familiarity with MLOps

Experience with monitoring and observability frameworks (e.g., Dynatrace)

10+ years of experience in Data Engineering and/or Data Architecture, with at least 4–5 years in a solution or platform architect role

Proven experience joining mid-flight programs — able to quickly understand existing implementations and make sound architectural decisions without starting from a blank slate

Track record of delivering architecture across complex, multi-layer data platforms in enterprise environments

Strong ability to balance pragmatism with rigor — delivering architecture that works for the team today while keeping the longer-term direction sound

Excellent communication and stakeholder management skills — able to present technical architecture clearly to both engineering teams and non-technical stakeholders

Collaborative by nature — this is a working architect role embedded with the team, not a remote advisory position

Experience working in regulated or enterprise-scale environments

106066 | Data & AI | Professional | 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.