Data Architect

🕒 September 11

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 24%

What it means: how likely this posting is sitting open without active hiring.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 company cloud and data architecture as a hands-on technical expert and solution-shaping architecture contributor • Partner with enterprise architects, senior architects, business leaders, and IT teams to define solution architectures • Support modernization initiatives focused on performance, efficiency, and cost optimization • Partner with the Innovation Lab to explore Generative AI and Advanced Analytics technologies • Translate experimentation into practical patterns and recommendations for delivery teams • Influence architectural decisions and contribute to technology 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 • Provide input into business cases and recommendations • Guide adoption of architectural standards, best practices, and governance expectations • Collaborate with business and engineering teams on end-to-end solutions • Provide architectural 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 skills • Ability to influence cross-functional teams and communicate architecture decisions clearly in distributed environments • Expertise in designing 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 experience with ETL/ELT pipelines, orchestration, data quality, batch and near-real-time workloads • Nice-to-have streaming and event-driven data experience with Kafka or Kinesis • Nice-to-have API and integration experience, including API governance, versioning, security, and event-driven integration • Nice-to-have data platform modernization experience with Spark or comparable distributed compute • Nice-to-have data security and privacy experience, including encryption, masking, tokenization, access controls, and auditability • Nice-to-have FinOps, workload right-sizing, storage optimization, and performance engineering experience • Nice-to-have CI/CD, infrastructure as code, Kubernetes, or EKS experience • Nice-to-have applied AI and GenAI experience • Nice-to-have Java, microservices, and third-party API integration experience • AWS Certified Solutions Architect certification is nice to have • Bachelor’s and/or master’s degree in computer science or a related field

🏖️ Benefits

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