Lead Architect - Applications

Iberdrola•Orange, CT

1d•$129,000 - $160,400•Onsite

About The Position

The Lead Architect – Applications plays a key role in designing and implementing enterprise data solutions that support advanced analytics, cloud adoption, and digital transformation. This position focuses on SAP-centric ecosystems, cloud platforms, and real-time data integration, while contributing to enterprise data strategy and ensuring compliance with governance and security standards. The Lead Architect – Applications role reports into the Manager – CS Data Management & Analytics.

Requirements

Bachelor’s degree in Computer Science or a related field and a minimum of 8 years of relevant experience. An equivalent combination of education and experience may be considered.
Strong experience with SAP HANA, BW, Datasphere, BTP, and SAC.
Proficiency in SQL and data engineering tools (SSIS, SSRS, SSDT).
Familiarity with Python and ML frameworks (NumPy, Pandas).
Experience with enterprise data architecture, governance, and visualization tools (Power BI, SAP Analytics Cloud).
Ability to work on complex projects and collaborate across IT and business teams.

Nice To Haves

Advanced certifications in SAP, cloud platforms, or data architecture.
Hands-on experience with cloud-native architectures (AWS/Azure), Databricks, Snowflake.
Exposure to event-driven systems, AI/ML platforms, and automation frameworks.

Responsibilities

Support the design and implementation of enterprise data warehousing solutions using SAP HANA, BW, SQL Server, and related technologies.
Develop and optimize HANA models, SQL scripting, and performance tuning for efficient data processing and reporting.
Develop secure, data-driven applications integrating APIs and databases for real-time business insights.
Translate business requirements into scalable technical solutions aligned with best practices.
Participate in project implementation phases, including architecture, solution design, and deployment.
Provide technical guidance to development teams and ensure adherence to data governance and visualization standards.
Collaborate with business stakeholders and vendors to deliver high-quality solutions.
Contribute to the architecture of cloud-native data platforms (AWS/Azure) and Lakehouse ecosystems (Databricks, Snowflake, SAP Datasphere).
Assist in designing real-time, event-driven data architectures leveraging Kafka or event mesh for grid operations and IoT integration.
Support integration of AI/ML pipelines and predictive models into enterprise platforms for advanced analytics.
Help implement data governance and quality frameworks, ensuring compliance and lineage tracking.
Participate in developing ESG and sustainability data frameworks, including carbon modeling and energy optimization pipelines.
Assist in automation initiatives for data engineering, including CI/CD for data pipelines and Infrastructure-as-Code (IaC).
Ensure cybersecurity principles are applied in data architecture, including encryption for sensitive data flows.