WHAT DOES A BIG DATA DO?

Published: May 26, 2025 – The Big Data involves the collection, storage, and analysis of vast volumes of information generated from various digital sources. This position supports real-time processing and predictive analytics to gain actionable insights. The use of Big Data has become essential for gaining a competitive edge in modern business environments.

A Review of Professional Skills and Functions for Big Data

1. Big Data Architect Duties

  • Data Strategy: Drive the big data strategy and roadmap focusing on data provisioning, a strong data management vision, and optimization of data assets.
  • Pipeline Analysis: Analyze big data pipeline implementation at the pattern and code level, identify issues, and provide remedial recommendations.
  • ETL Support: Support ETL pipeline investigations to ensure data pipelines are working as per design.
  • Cluster Monitoring: Analyze cluster performance and investigate individual job impact on meeting daily SLAs with various business lines.
  • Flow Design: Design information flow for new reporting requirements and build data architecture.
  • Pipeline Development: Develop data pipelines to support reporting products.
  • Data Analysis: Support data analysis for reporting systems and downstream users of the Consumer Zone.
  • Disaster Recovery: Support the new design and implementation of a data lake disaster recovery system.
  • Solution Architecture: Render, own, and drive the solution architecture for Corporate Security and Future of Work domains.

2. Big Data Consultant Details

  • Architecture Design: Define an end-to-end architecture design solution.
  • Estimate Preparation: Prepare high-level and detailed estimates.
  • Technology Adoption: Understand new technology trends, new tools, and implement POC.
  • DevOps Pipeline: Design and build a DevOps pipeline for large-scale implementation of data pipelines for both analytical and operational data applications.
  • Platform Enablement: Build capabilities on the platform that enable data analysts to rapidly consume data pipelines through data applications and exploration capabilities.
  • Model Management: Define and update data models and associated technical and business metadata.
  • Team Collaboration: Work closely with Product Owner/s, Architects, and delivery teams to build systems that drive clients towards its strategic platform vision.
  • Framework Optimization: Optimize and contribute to existing platform frameworks, components, and templates enabling future development efficiencies.
  • Knowledge Sharing: Knowledge transfer throughout the organization via participation in workshops, appropriate documentation, and internal presentations establishing thought leadership and capability excellence on client’s platform.

3. Big Data Developer Responsibilities

  • Threat Intelligence: Create timely and actionable threat intelligence, including IOCs, TTPs, and valuable insights.
  • Customer Protection: Proactively protect customers by blocking attacks and providing contextual threat information.
  • Pipeline Engineering: Build efficient data pipelines for collecting, processing, and analyzing large volumes of threat data.
  • Backend Development: Design, develop, and monitor data pipelines in a senior back-end development role.
  • API Creation: Create reliable and robust REST web service APIs for front-end web applications.
  • Team Collaboration: Collaborate with the threat analysis and data modeling team.
  • Data Flow: Ensure the timely and efficient flow of threat-related data.
  • Cyber Defense: Support the mission of safeguarding customers from cyber threats through data-driven solutions.

4. Big Data Solution Architect Job Summary

  • Innovation Development: Contributes to the development of innovative principles, ideas, and practices.
  • Project Leadership: Leads large, cross-functional activities or projects that affect the organization's long-term goals and objectives.
  • Strategy Development: Develops strategy and functionality to align with the company's business initiatives.
  • Business Adaptability: Work in different business environments.
  • Executive Interaction: Interacts with high-level Individual Contributors, C-Level Managers, Directors, Executives, and Core Teams.
  • Project Management: Leads multiple and the most complex projects requiring software applications development.
  • Design Review: Reviews and evaluates designs and project activities for compliance with development guidelines and standards.
  • Quality Improvement: Provides tangible feedback to improve product quality and mitigate failure risk.
  • Technology Evaluation: Identifies and evaluates new technologies, innovations, and outsourced development partner relationships for alignment with technology roadmap and business value.
  • Architecture Planning: Creates plans for integration and updates into the architecture.