Architect of Data Architecture

Data Architect will serve as a hands‑on technical expert and solution architecture contributor, helping design Empower’s cloud and data architecture.

• Partner with Enterprise Architects, Senior Architects, and cross functional teams, including business stakeholders, to shape solution architectures aligned to a unified IT data strategy.
• Contribute to Empower’s technology roadmap by documenting target state architectures, reference architectures, and key dependencies for supported initiatives.
• Design and support modernization and migration of complex systems to scalable, secure, and cost‑optimized cloud architectures, working with delivery teams through implementation.
• Evaluate and prototype new technologies and applications, challenge existing approaches constructively, and provide input into business cases and recommendations.
• Apply and help operationalize architectural standards, best practices, and governance expectations, supporting consistent adoption through guidance and enablement.
• Collaborate closely with business and engineering teams to design end‑to‑end solutions that meet strategic, technical, and operational objectives.
• Provide architectural guidance in process design, system orchestration, and enterprise integration to enable cohesive and efficient technology ecosystems.
• Champion security, resilience, and scalability as core design principles across data platforms and data solutions.
• Contribute to architecture discipline maturity by producing reusable patterns, decision documentation, and lessons learned that improve consistency and delivery speed.
• Support full stack development teams through solution design and implementation, improving long‑term scalability, performance, and cost outcomes.

• Bachelor’s and/or master’s degree in computer science or related field, such as information systems, mathematics, or software engineering, or equivalent experience.
• At least 5 years of experience delivering data‑intensive solutions, for example in data engineering, analytics engineering, data platforms, BI, or related roles.
• At least 1 year of demonstrated solution design ownership for moderately complex initiatives, gained as an architect or as a senior engineer or technical lead responsible for end‑to‑end design, architectural trade‑offs, and guiding implementation.
• Proven experience in multiple data focused roles, including Data Engineer, ETL/ELT, Data Architect, Database Administrator, BI or Analytics Engineer, Data Science, data governance, or a similar field.
• Competency in architecture frameworks, performance optimization, and addressing cross‑cutting concerns including availability, caching, monitoring, scalability, and security.
• Strong problem solving and strategic thinking, with the ability to influence cross functional teams and communicate architecture decisions clearly in distributed environments.
• Strong expertise in designing data and cloud architecture, AWS preferred, supporting scalability, performance, and security with systems such as Snowflake or Redshift.
• Proven ability to translate complex data into actionable business insights and reporting solutions that provide comprehensive and up‑to‑date information to business users.
• Bachelor’s degree in Computer Science, Information Systems, or related discipline, or equivalent practical experience.

• Data engineering experience designing and delivering ETL and ELT pipelines, including orchestration, data quality controls, and reliable operations for batch and near real‑time workloads.
• Streaming and event driven data experience building and operating Kafka or Kinesis based architectures, including ordering, replay, schema evolution, and real‑time observability.
• API and integration experience designing API‑first data access patterns, API lifecycle governance, versioning, security, and developer enablement, plus event‑driven integration patterns to reduce point‑to‑point complexity.
• Data platform modernization experience designing large‑scale ingestion and processing platforms using Spark or comparable distributed compute and orchestrating reliable batch and near real‑time pipelines.
• Data security…