Responsibilities:
Are you a leader in data and analytics architecture? Do you thrive in evolving environments and have passion for developing resilient data solutions? Join Principal Financial Group as a Senior Architect and help us develop impactful changes and strategic growth in our data and analytics framework!
Analytics & Data Architecture
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Define and uphold the enterprise data and analytics structural design blueprints, vision, principles, and target states.
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Ensure data ecosystem alignment with enterprise architecture strategy, business capabilities, and operating models.
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Partner to handle, support, and improve the condition of data insights and reporting capabilities for the enterprise.
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Define and sustain the enterprise analytics architecture across modern data platforms including:
- Analytical data models and marts
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Cloud data lake and warehouse solutions
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Build analytics solutions optimized for:
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BI reporting
Advanced analytics and AI consumption
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Ensure analytics architectures scale with growing data volumes and concurrent users.
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Be responsible for the analytics architecture roadmap (target state, phased migration, and decommission plan) aligned to business priorities.
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Define reference architectures, standards, and guardrails; serve as build authority for analytics modeling and consumption patterns.
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Manage data models dedicated to analysis and multi-dimensional structures for enterprise reporting.
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Build and govern:
Semantic layers on top of Databricks / Snowflake
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Enable tool agnostic analytics consumption across multiple BI platforms.
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Ensure consistency of definitions across dashboards, reports, and AI use cases.
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Drive a data-as-a-product approach for analytical datasets, including product ownership, lifecycle management, and adoption.
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Define analytics data products hosted on Databricks / Snowflake with clear onboarding, versioning, and support processes, including:
- Clear schemas and contracts
Detailed usage patterns
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Enable discoverability, trust, and reuse through catalog and marketplace integration.
Modern Data Platform Architecture (Snowflake)
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Architect analytical solutions on Snowflake including:
- Developing data schemas for analytical workloads
Workload separation and concurrency management
Define guidelines for:
- Delta Lake / Iceberg / analytical table formats
Ingestion and transformation patterns
Guide teams on:
Build analytics architectures that support BI, ML, AI/NLQ and data science workloads on the same platform.
Implement analytics-focused governance on cloud data platforms:
- Row-level and column-level security
Secure data sharing mechanisms
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Define and monitor analytics data quality rules.
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Ensure compliance with enterprise security, privacy, and regulatory standards.
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Partner with data governance and platform security teams.
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Collaborate closely with:
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Provide architectural leadership and build governance.
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Mentor teams on analytics modeling, platform usage, and established guidelines.
Modern Data Stack (Mandatory)
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Hands-on architectural experience with:
- Databricks and/or Snowflake in enterprise environments.
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Solid knowledge of:
- Lakehouse vs warehouse architecture
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Compute–storage separation
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Experience enabling analytics use cases at scale on cloud platforms.
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Advanced skills in analytical and dimensional data modeling.
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Proficient in SQL and optimizing queries.
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Hands on experience of various modeling approaches – logical, physical and dimensional.
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Experience building semantic layers and governed metrics.
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Understanding of ETL, ELT patterns and analytics pipeline build.
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Agile delivery method, process and toolings.
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Experience on an AWS cloud platform (or equivalent).
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Familiarity with:
- Cloud native analytics services
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Data observability and quality tooling.
Qualifications:
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Education: Bachelor’s degree or equivalent experience (any stream).
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Ability to translate business requirements into scalable analytics builds.
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Solid grasp of:
Important metrics
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Superb communication, presentation, and collaborator engagement skills.
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Industry experience in BFSI preferable.
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Architecture or cloud certifications (nice to have).
