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Iberdrola
Iberdrola
Energy
Iberdrola is a global energy company with more than 180 years of history and a major focus on the clean-energy transition. The company is recognized as a leading wind power producer and one of the largest electricity companies by market capitalization, serving nearly 100 million people across multiple countries. Its operations and investment priorities include renewable generation, smart grids, energy storage, and digital transformation. Iberdrola’s workforce of more than 42,300 employees supports its long-term effort to expand renewable capacity and develop a more sustainable energy system.
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Lead Applications Architect

Lead the architecture of SAP-centered enterprise data platforms and applications for Iberdrola’s energy business. Shape cloud, AI/ML, governance, and real-time integration capabilities across complex data environments.

USUnited StatesCTConnecticutMAMassachusetts
$128,320 – $167,600 / year
On-siteFull-timeSeniorEnglish RequiredArchitect
AWSAzureCloudCyber SecurityIoTKafkaNumpyPandasPythonSQLSSIS

Description

  • Architect and deliver enterprise data warehouses with SAP HANA, BW, SQL Server, and related technologies
  • Build and tune HANA models, SQL scripts, and database performance
  • Create secure applications that connect APIs and databases for real-time insight
  • Convert business needs into scalable technical designs
  • Support architecture, solution design, implementation, and deployment activities
  • Guide development teams while upholding data governance and visualization standards
  • Work with business stakeholders and vendors to deliver data solutions
  • Advance cloud-native data platforms and Lakehouse environments using AWS, Azure, Synapse, Databricks, Snowflake, and SAP Datasphere
  • Support event-driven architectures using Kafka or event mesh for grid operations and IoT integration
  • Integrate AI/ML pipelines and predictive analytics models
  • Establish data governance and quality practices covering compliance and lineage
  • Build ESG and sustainability data frameworks, including carbon and energy optimization pipelines
  • Automate data engineering, CI/CD for data pipelines, and infrastructure-as-code
  • Apply cybersecurity controls such as encryption across sensitive data flows
  • Manage vendor partners during deployment, integration, and ongoing support
  • Resolve Data Platform Administration issues in partnership with IT teams
  • Automate platform workflows to reduce manual administration
  • Design and automate AI-enabled workflows across the enterprise data platform

Requirements

  • Bachelor’s degree in computer science or a related field, plus at least 8 years of relevant experience
  • Equivalent education and professional experience may be accepted
  • Strong knowledge of SAP HANA, BW, Datasphere, BTP, and SAC
  • Proficiency with SQL and data engineering tools including SSIS, SSRS, and SSDT
  • Working knowledge of Python and ML libraries such as NumPy and Pandas
  • Experience with enterprise data architecture, governance, and visualization tools including Power BI and SAP Analytics Cloud
  • Expertise migrating workloads between data platforms
  • Experience delivering data platforms and products on large-scale cloud infrastructure, including Azure and AWS
  • Ability to manage complex initiatives across IT and business teams
  • Leadership experience on multiple enterprise-scale projects involving advanced analytics, AI/ML, and automation
  • Advanced SAP, cloud platform, or data architecture certifications are preferred
  • Hands-on cloud-native architecture experience with AWS or Azure, Databricks, and Snowflake is preferred
  • Exposure to event-driven systems, AI/ML platforms, and automation frameworks is preferred
  • Experience deploying data platforms and products end to end is preferred
  • Must be legally authorized to work in the country of the vacancy

Benefits

  • Competitive benefits and opportunities for professional growth
  • Performance-based bonuses
  • 12% 401(k) employer match
  • Health, dental, and vision coverage
  • Tuition reimbursement
  • Professional development support and defined career advancement opportunities

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