We re hiring a Senior Data Architect to lead the Finance Data Hub-designing the blueprint and standards for finance data assets across Snowflake ADF and Power BI Own the end to end data architecture roadmap for our Snowflake centric Finance Data Hub and medallion lakehouse patterns-aligning enterprise bronze silver and domain gold layers for scale reuse and velocity Design and govern the semantic layer enterprise curated datasets star schemas RLS that delivers a single version of truth for analytics in Power BI codify standards and deployment practices Assess application data platform architecture choices decide sourcing patterns security rules RBAC RLS privacy constraints and data residency controls in partnership with platform security teams Establish repeatable ingestion transformation patterns with Azure Data Factory and Snowflake orchestration environments naming CI CD and champion DataOps guardrails Assess high level data architecture from context translate objectives into conceptual entities e g customer invoices customer master finance master data like site and accounts and drive a fit for purpose target state Advance federated data governance and quality with domain owners and stewards-CDE identification DQ rules scorecards lineage and catalog practices that drive trust Raise our AI data readiness-ensure data products include the metadata quality lineage and controls AI requires align with emerging AI governance and risk processes Engineer for performance reliability and cost-optimize Snowflake warehouses refresh gateway health and observability for 99 availability across the analytics estate Embed security and compliance by design-RBAC RLS encryption least privilege and cloud security controls across data stores pipelines and BI surface Coach and uplift talent-mentor architects engineers and stewards cultivate reusable patterns reference implementations and strong data as an asset practices Operationalize CI CD for data BI-govern branching releases and deployment pipelines for Snowflake Power BI drive automated reconciliation and validation Partner across platform analytics teams to harmonize ingestion lakehouse with reporting and ML accelerating domain roadmaps and cross domain reuse Co create test strategy and exit criteria with the Product Owner define data semantic validation and performance thresholds needed for release and sign off Joint design sign off partner with DF I techno functional leadership to review and sign off the detailed technical design and data model for FDH assets Bachelor s in Computer Science Data Information Systems Engineering Mathematics or related field or equivalent experience 8-10 years in data architecture engineering with a record of shipping finance-grade data assets and semantic models 5 years dimensional modeling and ELT ETL for analytical workloads 3 years hands-on with Snowflake ADF and Power BI at enterprise scale Architectures Patterns Data mesh domain ownership federated governance and medallion lakehouse bronze silver gold applied to Finance use cases Snowflake Finance focus warehouse optimization materialized views search optimization secure data sharing and workload segregation for close windows ADF DataOps standardized pipelines setting promotion CI CD options for data defensible naming and metadata capture for auditability Semantic Layer BI Power BI deployment pipelines DAX standards Tabular Editor DAX Studio usage and scalable RLS patterns for sensitive finance hierarchies Modeling Standards domain agnostic bronze silver guidance and domain aligned finance gold facts dims for AP AR GL FA Intercompany conformed dimensions and metric definitions Governance MDM CDE identification glossary lineage DQ rules scorecards integration with finance hierarchies MDM and stewardship councils Security Compliance RBAC RLS encryption and Azure security controls awareness of SOX and data privacy impacts on finance reporting pipelines Testing Readiness automated reconciliation Snowflake Power BI SIT UAT for KPI sign off and performance testing for semantic models AI Data Readiness Governance AI risk checkpoints data policy as code direction and regulatory awareness embedded in asset lifecycle Business-anchored architecture connects high-level finance outcomes e g DSO reduction to conceptual data models and target state architectures invoices customer master finance master data Standards stewardship demonstrated ability to apply and contribute to enterprise data mesh standards playbooks surfacing reusable patterns and guardrails Finance domain fluency communicates trade offs in plain language aligns stakeholders around close timelines reconciliations and metric definitions Systems lifecycle thinking connects ingestion modeling semantic consumption with documentation and enablement that auditors and analyst s trust Leadership influence mentors engineers stewards builds consensus across Finance Platform and Governance forums Outcome orientation delivers measurable gains in reliability quality adoption and cost within FDH Collaborative orchestration not the expert in every domain but consistently brings the right people together DF I product owner Architecture Guild IDM Finance BU team platform security stewards to move from intent design sign off release

📌 Senior Specialist It - Data Engineering (Pune)
🏢 Eaton
📍 Pune