Solution Architect

7 - 8 years

35 - 40 Lacs

hyderabad

Posted:-1 days ago| Platform:

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Skills Required

assurance due diligence business analytics analytical consulting asset management it operations operations financial services sql

Work Mode

Work from Office

Job Type

Full Time

Job Description

Work as a Project Manager or Senior Manager with 15+ years of experience in software/data engineering with at least 7-8 years in a dedicated Solution Architecture or Principal Architect role designing enterprise-scale systems.
Experience on architectural design for large-scale, complex data solutions encompassing data ingestion, processing, storage, and consumption, ensuring alignment with business goals.
Experience on Governing the use of core technologies (Spark for processing, Iceberg for open table format, Hive for governance, Hadoop foundations) across the enterprise.
Experience as a central authority bridging the gaps between Data Engineering, Data Science, Business Analytics, Product Management, and IT Operations. Ensure architectural cohesion and buy-in across all stakeholders.
Experience in Create and maintain solution architecture documents, diagrams, and roadmaps. Define and enforce architectural principles, patterns, and standards for the entire data platform.
Experience in collaborating with senior business and product leaders to understand their objectives and challenges. Propose and architect innovative data solutions that create competitive advantages and unlock new capabilities.
Expert-level understanding of Sparks architecture for both batch and streaming. Ability to design solutions that leverage its distributed computing power effectively.
Experience on Identify technical risks, bottlenecks, and single points of failure in proposed solutions. Architect for compliance, security, data privacy, and cost management from the outset.
Experience on architecting lakehouse solutions with Iceberg. Must be able to articulate its value over other table formats and design for its core features.
Expertise knowledge of Hadoop (HDFS, YARN) and Hive. Understands its evolution and how modern tools like Spark and Iceberg interact with and can modernize a Hadoop-based data lake.
Expertise Experience on designing and deploying large-scale data solutions on a major cloud platform (AWS, Azure, or GCP), including managed services (EMR, Databricks, Spark on Kubernetes, S3/ADLS/GCS).
Experience in Python, Scala, or Java and masterful SQL skills for design and review purposes.
Mentor lead data engineers and architects. Lead architecture review boards and provide expert guidance to implementation teams to ensure designs are executed correctly.
Exceptional verbal and written communication skills. Ability to explain complex technical concepts to non-technical executives and influence strategic decision-making.
Lead the evaluation and selection of third-party tools, services, and technologies that complement or enhance the core open-source stack.
A documented history of leading the architecture of a major data platform or transformational project from conception to delivery.
Participate in organization-level initiatives and operational activities

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