Senior Data Platform Architect — PySpark & Hadoop

Charlotte, NC | 10 - 15 years of experience Apply Apply By | 22-Jul-2026 Save Job Share Job

Primary Skill:
Data Engineering, Platform Engineering or architecture roles. Deep Expertise in Pyspark.

Experience:

10+ yrs

Bachelor’s or master’s degree in computer science or related field.

• Deep Expertise in PySpark, including performance tuning and optimization
• 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
• 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

• Enterprise & Surveillance Architecture
  - 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
  - Maintain high‑quality documentation, including business requirement, data definitions and process flows
  - Proactively communicate risks, dependencies and potential timeline impact to stakeholders
• Non-Functional requirement and product Readiness

• 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.

$110,000-$120,000 a year

Charlotte, NC

TECHNOLOGY

Analyst

413735

Big Data | Hadoop

Qualifications :

BACHELOR OF COMPUTER SCIENCE