1 day ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. Introduction

At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk. Introduction

At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.

Your Role And Responsibilities

Lead the design and delivery of modern data platforms for financial institutions, ensuring alignment with industry regulations (e.g., BCBS 239, CCAR, SOX, SEC, GDPR).

Architect cloud-native data lakes, warehouses, and real-time analytics pipelines on AWS, Azure, or GCP . Oversee the development of ETL/EL T pipelines for onboarding structured and unstructured data from legacy systems, core banking platforms, trading systems, and third-party providers. Develop and enforce architectural standards, security models (PII, CHS, customer data), lineage, and governance frameworks that meet financial industry compliance requirements. Support business outcome-focused use cases like risk management, regulatory reporting, fraud detection, customer 360, and front-office analytics. Provide strategic leadership to consulting teams, ensuring project excellence, stakeholder alignment, and business value realization

As of April 2025, Hakkoda has been acquired by IBM and will be integrated in the IBM organization. Your recruitment process will be managed by IBM. IBM will be the hiring entity.

This role can be performed from anywhere in the US

Preferred Education

Bachelor's Degree

Required Technical And Professional Expertise

"7+ years in related technical roles, 2+ years in leading the development of modern data architecture, preferably in a consulting or advisory capacity

As a foundation, you must have extensive knowledge of operationalizing a data lake in a production environment. Experience designing and developing data warehouses (Teradata, Oracle Exadata, Netezza, SQL Server, Spark) Experience building ETL / EL T ingestion pipelines with tools like DataStage, Informatica,Matillion Ability to design & document how the above tools are scaled, sized, and deployed Experience in standing up a data lake/warehouse in a cloud environment is desirable. Experience designing for high-volume, regulated environments—such as capital markets, retail banking, or insurance—where auditability, data quality, and lineage are paramount. Familiarity with financial data domains like reference data, transactions, positions, accounts, KYC/AML, or regulatory reporting is a strong plus. Experience with business intelligence/data analytics Cloud experience on AWS, Azure, and/or GCP Ability to troubleshoot and solve development and operational bottlenecks Deep understanding of data security, including masking, tokenization, RBAC, and integration with IAM tools in cloud environments. Proven experience using SQL Proven experience using Python or Scala Advanced English"

Preferred Technical And Professional Experience

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