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Tata Consultancy Services Linkedin · Posted 20d ago

Engineer

Cleveland

Linkedin
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Job Description

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.

Qualifications: BACHELOR OF COMPUTER SCIENCE
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