Design and deliver trusted, reusable data products for Global Wealth & Asset Management (GWAM) Asia, guiding data engineers building end-to-end ETL/ELT pipelines and owning data models for the regional data platform.
Responsibilities
Provide technical leadership in designing, building, and optimising end-to-end batch (and near-real-time where required) ETL/ELT pipelines across the raw, curated, and semantic/data product layers (medallion architecture) on Azure
Establish robust pipeline engineering practices, including ingestion patterns, orchestration, incremental and CDC loads, schema evolution, integration with the Data Quality (DQ) Framework, error handling, and performance tuning
Partner with business stakeholders, analytics, and AI teams to define data products that align with business domains, use cases, and outcomes
Translate business requirements into well-defined data entities, relationships, and metrics; contribute to conceptual data models with the Lead Data Solution Architect; and design and maintain the logical and physical data models
Engineer curated, analytics-ready data products optimised for BI, reporting, APIs, and semantic models
Requirements
Bachelor's degree in Computer Science, Information Systems, or a related field
Nice to have: Wealth or asset management data domain knowledge
Nice to have: Metadata-driven or global ingestion frameworks
Nice to have: Data privacy and data residency knowledge in regulated financial services
Consultant – Data Consulting and Design
Accenture Infrastructure and Capital Projects, LLC · Posted Nov 12, 2026
Design and deliver trusted, reusable data products for Global Wealth & Asset Management (GWAM) Asia, guiding data engineers building end-to-end ETL/ELT pipelines.
Responsibilities
Provide technical leadership in designing, building, and optimising end-to-end batch (and near-real-time where required) ETL/ELT pipelines across the raw, curated, and semantic/data product layers (medallion architecture) on Azure
Establish robust pipeline engineering practices, including ingestion patterns, orchestration, incremental and CDC loads, schema evolution, integration with the Data Quality (DQ) Framework, error handling, and performance tuning
Partner with business stakeholders, analytics, and AI teams to define data products that align with business domains, use cases, and outcomes, and ensure they are discoverable, trusted, and well understood
Translate business requirements into well-defined data entities, relationships, and metrics; contribute to conceptual data models with the Lead Data Solution Architect; and design and maintain the logical and physical data models that underpin scalable, reusable data products
Engineer curated, analytics-ready data products optimised for BI, reporting, APIs, and semantic models (e.g., Power BI)
Requirements
Bachelor's degree in Computer Science, Information Systems, or a related field
Nice to have: Wealth management data domain knowledge
Nice to have: Metadata-driven ingestion frameworks
Design, build and support the Oracle 19c database for a platform that aggregates retirement, health savings and stock plan data. This role will own the logical and physical data models, table creation scripts and database deployments across environments.
Compensation
The starting pay range for this role is $88.hour.
Responsibilities
Designing and tuning database structures
Maintaining database availability and security
Supporting repeatable deployments with reviewed scripts and rollback plans
Partnering with and mentoring ETL and Java developers on data modeling, SQL and database standards
Administer, configure, maintain, and support enterprise data management and analytics platforms across multiple environments.
Compensation
The salary range for this role is 86,800 USD - 165,200 USD.
Responsibilities
Administer, configure, maintain, and support enterprise data management and analytics platforms across multiple environments.
Manage user onboarding, access provisioning, role-based security, and data access controls in alignment with enterprise security, privacy, and governance requirements.
Monitor platform performance, availability, and operational health, proactively identifying and resolving issues to minimize business impact.
Troubleshoot and resolve platform, integration, and user-related issues while partnering with internal and external support teams to ensure timely resolution.
Coordinate platform upgrades, releases, patches, and configuration changes, ensuring minimal disruption to business operations.
The Data Architect (Grade 4) is a foundational data engineering and data modeling specialist responsible for translating business requirements and data domain definitions into physical and logical schema designs, Snowflake data pipelines, and certified Data Product interfaces.
Locations (2)
Gurgaon, India
Bangalore
Responsibilities
Design and maintain logical and physical data models for CSP data domains using ERwin, ER/Studio, or dbt semantic models.
Develop star-schema, snowflake-schema, and normalized table structures in Snowflake optimized for query performance and data sharing.
Author comprehensive source-to-target mapping specifications, documenting transformation logic, business rules, and data cleansing requirements.
Partner with delivery engineers to design ingestion and transformation pipelines moving data from legacy Oracle databases (CRDB) to target Snowflake tables.
Write and optimize complex SQL transformations, views, and stored procedures in Snowflake.
Requirements
Data Engineer
Mondelez International, Inc. · Posted Nov 11, 2026
Informatica powercenter with TeradataNewCLOUDSCOUTS SOFTWARE SOLUTIONS LLC · Remote, US
Big Data LeadNewHEXAWARE · US
Lead Data Engineer – Data Products, GWAM AsiaNewManulife · Hong Kong, Hong Kong