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Senior Solution Architect

Senior Solution Architect

ConfidentialPune, India
17 days ago
Job description

RoleOverview

Job Description

Experienced Senior Solution Architect – Data to lead the design and governance ofenterprise-wide data platforms and analytics solutions. Lead design andoptimisation of the data ecosystem for a large engineering enterprise with adiverse application landscape that includes multiple ERPs (Baan, Oracle, SAP),cloud platforms, and SaaS solutions.

Demonstratedtechnical expertise with strong architectural leadership is a must for therole.

Key Responsibilities

  • Define and govern the enterprise data architecture, ensuring alignment with business strategy and IT standards.
  • Design end-to-end data solutions across ingestion, storage, modelling, analytics, and governance layers, especially focused on leveraging Azure and Databricks as strategic platforms.
  • Develop strategies to unify data from multiple ERPs (Baan, Oracle, SAP) and cloud / SaaS systems into a data lake platform.
  • Establish information architecture, metadata management, and data quality frameworks.
  • Collaborate with business stakeholders and development teams to translate requirements into scalable technical solutions.
  • Provide thought leadership on emerging data technologies and how they can create business value.
  • Support governance processes for change management, security, compliance, and lifecycle management of data assets.

RequiredSkills & Experience

  • Proven track record as a Data / Analytics Solution Architect in complex enterprise environments with experience in data modelling, warehousing, and information architecture.
  • Experience architecting solutions using Azure data services and Databricks (e.g., Synapse Analytics, Data Lake, Azure SQL, Data Factory, Spark, and Delta Lake) for large-scale data engineering and advanced analytics.
  • Experience in implementing data governance, security, and regulatory compliance practices.
  • Desirable (Nice to Have)

  • Exposure to advanced analytics, AI / ML solutions, or IoT data integration.
  • Experience with API-led integration and event-driven architectures.
  • Knowledge of industry-specific data standards.
  • Personal Attributes

  • Strong leadership, communication, and stakeholder management skills.
  • Ability to balance strategic vision with practical delivery.
  • Proactive problem-solver who thrives in complex, multi-system landscapes.
  • Show more

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    Skills Required

    Information Architecture, Data Modelling, Security Compliance, Spark, Data Lake, Data Governance, Databricks, Azure

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