Engineer

Skill: Sr Data Engineering Architect – Fraud Domain

• Must Have Technical/Functional Skills:

• Define and implement enterprise data architecture, data models, governance standards, and technology roadmaps for fraud and risk analytics platforms.

• Design and oversee scalable batch and real-time data pipelines, data lakes/lakehouses, data warehouses, and cloud-based data solutions.

• Partner with Fraud, Risk, Compliance, and Business teams to deliver solutions supporting fraud detection, transaction monitoring, AML, behavioral analytics, and regulatory reporting.

• Ensure data quality, security, lineage, compliance, performance optimization, and adherence to architecture best practices.

• Lead architecture reviews, mentor engineering teams, and collaborate with stakeholders to drive data modernization initiatives.

Qualifications & Skills

• 10+ years of experience in Data Engineering, Data Warehousing, Analytics, or Data Management.

• 3+ years of experience as a Data Architect designing enterprise-scale data solutions.

• Strong BFSI, Payments, FinTech, or Fraud/Risk domain experience, including fraud detection, AML, KYC, transaction monitoring, and risk analytics.

• Expertise in Data Architecture, Data Modeling, Data Lake/Lakehouse, Data Warehouse, ETL/ELT, Data Governance, and Metadata Management.

• Hands-on experience with SQL, Python, Spark/PySpark, Databricks, Kafka, Airflow, Snowflake, and modern cloud platforms.

• Knowledge of real-time streaming, event-driven architectures, MDM, Data Mesh, and ML/AI-enabled data platforms.

• Strong leadership, stakeholder management, communication, and solution design skills.

• Roles & Responsibilities:

• Define and implement enterprise data architecture, data models, governance standards, and technology roadmaps for fraud and risk analytics platforms.

• Design and oversee scalable batch and real-time data pipelines, data lakes/lakehouses, data warehouses, and cloud-based data solutions.

• Partner with Fraud, Risk, Compliance, and Business teams to deliver solutions supporting fraud detection, transaction monitoring, AML, behavioral analytics, and regulatory reporting.

• Ensure data quality, security, lineage, compliance, performance optimization, and adherence to architecture best practices.

• Lead architecture reviews, mentor engineering teams, and collaborate with stakeholders to drive data modernization initiatives.

Salary Range - $100,000-$120,000 a year

TCS Employee Benefits Summary:

Discretionary Annual Incentive.

Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.

Family Support: Maternal & Parental Leaves.

Insurance Options: Auto & Home Insurance, Identity Theft Protection.

Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.

Time Off: Vacation, Time Off, Sick Leave & Holidays.

Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Role: Engineer

Desired skills: Data architect

Qualifications: BACHELOR OF COMPUTER SCIENCE

• Experience: 6 - 14 Years

• Job function: TECHNOLOGY

• Location: Cleveland, OH

Salary range: $100,000–$120,000

Apply by: 2026-09-16 00:00:00