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Job Description
- Key Responsibilities
- Data Architecture Modeling
- Lead enterprisewide conceptual logical and physical data modeling initiatives
- Define and maintain enterprise data modeling standards naming conventions and governance guidelines
- Design scalable Snowflakebased data models utilizing
- 3NF
- Dimensional Modeling
- Star Snowflake Schemas
- Canonical Data Models
- Data Vault preferred
- Data Productcentric architectures
- Establish master data reference data key structures and relationship standards
- Analyze existing data models and recommend optimization opportunities to reduce redundancy and improve performance
- Drive model rationalization and data domain standardization
- Snowflake Architecture
- Design enterprisescale Snowflake architectures supporting analytics reporting AI and Data Products
- Define BronzeSilverGold layer architectures and consumption patterns
- Architect solutions leveraging
- Snowflake Dynamic Tables
- Streams Tasks
- Snowpark
- Cortex AI
- Secure Data Sharing
- Iceberg Tables
- Horizon Catalog
- Implement best practices around scalability resiliency performance and cost optimization
- Drive workload optimization and FinOps initiatives across Snowflake platforms
- Data Product Enablement
- Design domainbased data products and consumption layers
- Define data contracts ownership models and lineage requirements
- Partner with business stakeholders to align models with strategic reporting and regulatory needs
- Support implementation of semantic layers and enterprise data marketplace initiatives
- Governance Data Quality
- Establish enterprise data governance standards
- Define lineage metadata and traceability frameworks
- Implement Data Quality controls and reconciliation strategies
- Ensure compliance with security privacy masking and rolebased access controls
- Stakeholder Leadership
- Act as trusted advisor to business and technology stakeholders
- Conduct architecture reviews and design governance sessions
- Mentor data modelers architects and engineering teams
- Lead workshops solutioning discussions and modernization assessments
- Mandatory Skills
- Snowflake Expertise
- 5 years handson Snowflake architecture experience
- Deep knowledge of
- Snowflake Data Cloud
- Snowpark
- Dynamic Tables
- Streams Tasks
- Materialized Views
- Clustering
- Time Travel
- Secure Data Sharing
- RBAC Security
- Data Modeling
- 8 years of enterprise data modeling experience
- Strong expertise in
- Conceptual Logical Physical Data Modeling
- Dimensional Modeling
- Data Vault 20
- Canonical Data Models
- Data Product Modeling
- Expertise with ER modeling tools such as Erwin ER Studio SAP PowerDesigner or equivalent
- Data Engineering Integration
- SQL Advanced
- dbt
- Airflow
- Python
- ETLELT architecture
- CDC patterns
- Batch and Streaming architectures
- Kafka preferred
- Governance Metadata
- Data Lineage
- Data Quality Frameworks
- Metadata Management
- Data Cataloging
- Information Governance
- Banking Domain Experience Preferred
- Strong experience in one or more of
- Risk Regulatory Reporting
- Credit Risk
- Liquidity Risk
- Treasury ALM
- Finance Accounting
- Customer Party Data
- Financial Crime Prevention
- Capital Markets
- Enterprise Data Warehousing
- Nice to Have
- SnowPro Advanced Architect Certification
- Data Vault Certification
- Experience with Data Product Operating Models
- Knowledge of AIdriven data engineering capabilities
- Experience with Cortex AI Snowflake ML Semantic Views
- Exposure to Cloudera Teradata Oracle DataStage modernization programs
- Experience migrating legacy platforms to Snowflake UDMPhase2 v1 PowerPoint LTM PoV timization PowerPoint
- Leadership Expectations
- Define enterprise data architecture direction
- Influence strategic technology decisions
- Drive modernization and optimization initiatives
- Establish modeling CoE standards and best practices
- Mentor architects engineers and analysts
Partner effectively with Nordea business and technology leadership teams
Skills
PythonSQLData EngineeringKafkaAirflowDbtSnowflakeData WarehousingData ModelingOracleSAPAccountingReconciliationComplianceTreasuryIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
About Company
LTIMindtree is a global technology consulting and digital solutions company that emerged from the merger of Larsen & Toubro Infotech (LTI) and Mindtree in 2022. This strategic amalgamation created a powerhouse in the IT services sector, with a combined legacy of innovation, deep engineering expertise, and a comprehensive portfolio of services. Headquartered in Mumbai, India, LTIMindtree serves a wide array of industries, including banking, insurance, retail, manufacturing, and healthcare, offering services in IT consulting, cloud computing, digital transformation, and data analytics. By harnessing the synergies of LTI and Mindtree, LTIMindtree aims to deliver enhanced value to its clients worldwide, helping them navigate the complexities of the digital era with agility and precision.
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