Enterprise Architect Data Architecture
Empower Annuity Insurance View all jobs
- Bangalore, Karnataka
- Permanent
- Full-time
As an Enterprise Architect in the Data Architecture department, you will tackle Empower’s most complex data challenges and shape how teams across the enterprise design and build data solutions. You will be a hands-on technical leader who brings clarity to complex system landscapes by guiding how data moves between platforms and applications, how integrations are approached, and how solutions are built to be reliable, scalable, secure, and cost aware. This role is for someone who thrives in ambiguity, enjoys solving the hardest problems, and wants to amplify their impact by setting direction that helps many teams deliver better outcomes with less friction.ResponsibilitiesLead the architecture of high impact data initiatives from problem framing through target design, delivery alignment, and measurable outcomesShape enterprise data solution direction by defining and socializing repeatable approaches for how data moves between systems and platformsCreate clear end to end data flow designs that show where data originates, how it moves, how it is transformed, and how it is made available for downstream useGuide teams toward integration patterns that improve reliability and reusability across batch, near real time, and real time data movementPartner closely with data engineers, platform teams, technical leads, and model builders to translate requirements into production ready designs and practical implementation pathsCollaborate with application engineering teams to align on integration approaches that reduce point to point complexity and simplify long term maintenanceProvide architectural leadership for data platforms and pipelines, including resilience, error handling, recoverability, performance, and operational readinessLead architecture reviews and technical decision forums, ensuring key decisions are documented and aligned to enterprise directionDiagnose complex data movement problems such as latency, duplication, reconciliation gaps, and cross system consistency issues, then drive designs that address root causesDrive simplification and modernization by reducing duplicated tooling, inconsistent approaches, and avoidable complexity across the data ecosystemDefine and track success measures for the solutions you influence, including delivery efficiency, reliability, reusability, quality, and cost transparencyRequired SkillsDeep experience delivering modern data solutions in complex environments, with strong engineering judgment and practical problem solvingProven ability to guide technical direction across teams through credible leadership, clear communication, and effective collaborationStrong understanding of common data movement approaches, including pipelines, orchestration, batch patterns, and streaming conceptsCloud experience designing or deploying data solutions on a major cloud platform, with understanding of scalability, reliability, security, and cost considerationsHands on experience with at least one modern data or analytics platform such as Snowflake, Databricks, AWS, Azure, GCP, SAS, Dataiku, or equivalentStrong understanding of modern data concepts including pipelines, data modeling fundamentals, data quality practices, metadata concepts, lineage concepts, and downstream consumption needsStrong written and verbal communication skills with demonstrated ability to create clear architecture artifacts and documentation that teams will useNice to Have QualificationsExperience in financial services, wealth management, retirement services, or another regulated industryExperience designing system to system integrations using APIs and service based approachesExperience with multiple integration and data movement technologies, including streaming and messaging platforms and orchestration frameworksExperience with multiple modern data and analytics platforms across ingestion, storage, transformation, and consumptionRelevant cloud certifications or formal training in cloud architecture, data engineering, integration, or analyticsEducationBachelor’s and/or master’s degree in computer science or related field (information systems, mathematics, software engineering, etc.)Physical Requirements/Working ConditionsNormal Office Working ConditionsWe are an equal opportunity employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to age, race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law.