Enterprise Architect, Data Integration and BI

IndiaFull-TimeSenior
Salary not disclosed
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Job Details

Experience
10+ years of experience in data management, data integration, and business intelligence, with at least 6 years in enterprise architecture roles
Required Skills
AWSGraphQLPostgreSQLBusiness IntelligenceMicrosoft Power BIMicrosoft SQL ServerMySQLOracleSnowflakeTableauAzureRESTful APIsData management

Requirements

  • 10+ years of experience in data management, data integration, and business intelligence
  • At least 6 years in enterprise architecture roles
  • Strong expertise in designing and implementing enterprise-scale data architectures, including data warehousing and analytics solutions
  • Proven experience working with cloud platforms (AWS, Azure, Oracle Cloud) and hybrid data environments
  • Hands-on experience with data integration tools such as Fivetran, Talend, Informatica, or similar technologies
  • Solid knowledge of relational databases (e.g., Oracle, SQL Server, MySQL, PostgreSQL, Snowflake)
  • Expertise in BI tools such as Power BI, Tableau, Oracle Analytics, or similar platforms
  • Experience with API design (REST, GraphQL) and modern data integration approaches
  • Strong understanding of data governance, security, and compliance frameworks
  • Excellent stakeholder management and communication skills, with the ability to simplify complex technical concepts
  • Demonstrated ability to lead cross-functional teams and deliver large-scale, data-driven transformation initiatives

Responsibilities

  • Lead the end-to-end architecture, design, and implementation of enterprise data integration, data warehousing, and BI solutions aligned with business goals
  • Define and promote architectural standards, frameworks, and best practices across data and analytics ecosystems
  • Design scalable and high-performance data pipelines and integration frameworks across cloud and on-premise systems
  • Collaborate with cross-functional teams to develop data models, governance frameworks, and integration strategies
  • Translate complex business requirements into robust technical solutions that align with enterprise IT strategies
  • Engage with senior stakeholders and executives to communicate architectural vision and support strategic decision-making
  • Oversee deployment, adoption, and optimization of data platforms, ensuring performance, scalability, and security
  • Provide technical leadership, mentor teams, and drive innovation in data architecture and analytics practices
  • Conduct architecture reviews and ensure compliance with data security, governance, and regulatory standards
  • Stay current with emerging technologies and recommend improvements to enhance data capabilities
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