Senior Developer

• Define target state architecture and strategic roadmap for surveillance data processing platforms leveraging Hadoop,Spark, Pyspark and Python

• Establish standard architectural patterns for alert generation, enrichment, aggregation and reporting pipelines.

• Ensure architecture aligns with enterprise technology standards and Surveillance control expectation

• Solution Design and Delivery Support

• Translate surveillance business requirements(e.g, market misconduct detection, regulatory coverage) into scalable technical designs

• Review and approve detailed technical designs, ensuring alignment with functional intent, regulatory requirements, and architectural standards.

• Provide hands-on architectural guidance to engineering teams during development, testing and implementation

• Design and standardization of Spark/Pyspark frameworks supporting surveillance alert generation and enrichment

• Modernization and Optimization of large-scale Hadoop surveillance workloads to improve performance, stability and control coverage

• Implementation of enterprise-consistent architecture patterns enabling audit readiness, lineage, and regulatory traceability

• Support end-to-end delivery across the SDLC, minimizing rework and technical debt

• Architecture Governance & Leadership

• Participate in and lead architecture review forums and design walkthroughs

• Mentor senior engineers and promote adoption of Standard framework and best practices

• Influence enterprise surveillance platform strategy through architecture governance

• Documentation & Communication

• Maintain high-quality documentation, including business requirement, data definitions and process flows

• Proactively communicate risks, dependencies and potential timeline impact to stakeholders

Primary Skill: Data Engineering, Platform Engineering or architecture roles. Deep Expertise in Pyspark. Experience: 10+ yrs Roles & Responsibilities Bachelor's or master's degree in computer science or related field.

• Required Hard and Soft Skills / Experience

• Deep Expertise in PySpark, including performance tuning and optimization

• Strong python development experience in large-scale distributed environment

• Solid knowledge of Hadoop ecosystem (HDFS,Hive/Impala, YARN)

• Proven experience designing and governing enterprise, regulatory facing data platforms.

• Expertise in designing data lakes, ELT/ETL pipelines, batch and real time data processing solution

• Proficiency in programming languages such as Java, Scala and SQL

• Strong understanding of non-functional requirements and production support models

• Clear written and verbal communication skills with ability to influence across organizations

• Preferred Skills / Experience

• Financial services experience, particularly in Market Surveillance, AML, Fraud, Or Risk Technology

• Experience supporting regulatory or audit facing platforms

• Kafka and Spark Structured streaming exposure

• Familiarity with Orchestration tools(Airflow,Control-M,Oozie)

• Knowledge of data governance, lineage, and data quality controls

• Daily Responsibilities/Priorities, Qualifications : BACHELOR OF COMPUTER SCIENCE

Pulled from the full job description

• Pet insurance
• Health insurance
• Dental insurance
• Commuter assistance, 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. Salary Range $110,000-$120,000 a year