Data Architect

Job not on LinkedIn

🕒 September 24

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 34%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Empower

WebsiteLinkedInAll Job Openings

10,000+ employees

💸 Finance

💳 Fintech

👥 B2C

Finance • Fintech • B2C

Empower is a leading provider of financial services focused on helping individuals and organizations achieve financial freedom through retirement planning and investment management. Serving over 19 million Americans, Empower offers a comprehensive suite of finance-related services, including smart planning and investment advice, and tools like the Empower Personal Dashboard™ for a complete financial view. The company is renowned as a top retirement plan provider and works closely with personal investors, workplace plan savers, plan sponsors, and financial professionals. Empower is also recognized for initiatives in Diversity, Equity, Inclusion, and has a social commitment that bolsters community impact.

📋 Description

• Design the company’s cloud and data architecture as a hands-on technical expert and solution-shaping architecture contributor • Partner with enterprise architects, senior architects, business leaders, IT teams, and business stakeholders to define solution architectures • Support modernization initiatives aligned with performance, efficiency, and cost optimization • Partner with the Innovation Lab to explore Generative AI and Advanced Analytics and translate experimentation into practical recommendations • Influence architectural decisions and contribute to team standards and governance • Document target-state architectures, reference architectures, and key dependencies • Design and support modernization and migration of complex systems to scalable, secure, and cost-optimized cloud architectures • Evaluate and prototype new technologies and applications and contribute to business cases • Operationalize architectural standards, best practices, and governance expectations • Design end-to-end solutions meeting strategic, technical, and operational objectives • Provide guidance in process design, system orchestration, and enterprise integration • Champion security, resilience, and scalability across data platforms and solutions • Produce reusable patterns, decision documentation, and lessons learned • Support full-stack development teams through solution design and implementation

🎯 Requirements

• At least 5 years of experience delivering data-intensive solutions, such as data engineering, analytics engineering, data platforms, BI, or related roles • At least 1 year of demonstrated solution design ownership for moderately complex initiatives • Experience in multiple data-focused roles, including Data Engineer, Data Architect, Database Administrator, BI or Analytics Engineer, Data Science, data governance, or similar • Competency in architecture frameworks, performance optimization, availability, caching, monitoring, scalability, and security • Strong problem solving and strategic thinking • Ability to influence cross-functional teams and communicate architecture decisions clearly in distributed environments • Strong expertise in data and cloud architecture; AWS preferred • Experience with systems such as Snowflake or Redshift • Ability to translate complex data into actionable business insights and reporting solutions • Bachelor’s degree in Computer Science, Information Systems, or related discipline, or equivalent practical experience • Nice to have: ETL/ELT pipelines, orchestration, data quality controls, batch and near real-time workloads • Nice to have: Kafka or Kinesis streaming and event-driven architectures • Nice to have: API-first data access patterns, API lifecycle governance, versioning, security, and developer enablement • Nice to have: Spark or comparable distributed compute • Nice to have: Data encryption, masking or tokenization, access controls, and auditability • Nice to have: FinOps, workload right sizing, storage optimization, and performance engineering • Nice to have: CI/CD, infrastructure as code, Kubernetes or EKS • Nice to have: Applied AI and GenAI patterns • Nice to have: Java, microservices patterns, and third-party API integrations • AWS Certified Solutions Architect certification is nice to have • Education lists a bachelor’s and/or master’s degree in computer science or related field

🏖️ Benefits

• Flexible work environment • Fluid career paths • Internal mobility • Purpose, well-being, and work-life balance support • Welcoming and inclusive environment • Volunteering opportunities • Equal opportunity employment

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