About Data Axle:
Data Axle Inc. has been an industry leader in data, marketing solutions, sales, and research for over 50 years in the USA. Data Axle now has an established strategic global centre of excellence in Pune. This centre delivers mission critical data services to its global customers powered by its proprietary cloud-based technology platform and by leveraging proprietary business and consumer databases.
Data Axle India is recognized as a Great Place to Work! This prestigious designation is a testament to our collective efforts in fostering an exceptional workplace culture and creating an environment where every team member can thrive.
General Summary:
As a Digital Data Management Architect, you will design, implement, and optimize advanced data management systems that support processing billions of digital transactions, ensuring high availability and accuracy. You will leverage your expertise in developing identity graphs, real-time data processing, and API integration to drive insights and enhance user experiences across digital platforms. Your role is crucial in building scalable and secure data architectures that support real-time analytics, identity resolution, and seamless data flows across multiple systems and applications.
Roles and Responsibilities:
- Data Architecture & System Design:
- Design and implement scalable data architectures capable of processing billions of digital transactions in real-time, ensuring low latency and high availability.
- Architect data models, workflows, and storage solutions to enable seamless real-time data processing, including stream processing and event-driven architectures.
- Identity Graph Development:
- Lead the development and maintenance of a comprehensive identity graph to unify disparate data sources, enabling accurate identity resolution across channels.
- Develop algorithms and data matching techniques to enhance identity linking, while maintaining data accuracy and privacy.
- Real-Time Data Processing & Analytics:
- Implement real-time data ingestion, processing, and analytics pipelines to support immediate data availability and actionable insights.
- Work closely with engineering teams to integrate and optimize real-time data processing frameworks such as Apache Kafka, Apache Flink, or Spark Streaming.
- API Development & Integration:
- Design and develop real-time APIs that facilitate data access and integration across internal and external platforms, focusing on security, scalability, and performance.
- Collaborate with product and engineering teams to define API specifications, data contracts, and SLAs to meet business and user requirements.
- Data Governance & Security:
- Establish data governance practices to maintain data quality, privacy, and compliance with regulatory standards across all digital transactions and identity graph data.
- Ensure security protocols and access controls are embedded in all data workflows and API integrations to protect sensitive information.
- Collaboration & Stakeholder Engagement:
- Partner with data engineering, analytics, and product teams to align data architecture with business requirements and strategic goals.
- Provide technical guidance and mentorship to junior architects and data engineers, promoting best practices and continuous learning.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
- 10+ years of experience in data architecture, digital data management, or a related field, with a proven track record in managing billion+ transactions.
- Deep experience with identity resolution techniques and building identity graphs.
- Strong proficiency in real-time data processing technologies (e.g., Kafka, Flink, Spark) and API development (RESTful and/or GraphQL).
- In-depth knowledge of database systems (SQL, NoSQL), data warehousing solutions, and cloud-based platforms (AWS, Azure, or GCP).
- Familiarity with data privacy regulations (e.g., GDPR, CCPA) and data governance best practices.
This position description is intended to describe the duties most frequently performed by an individual in this position. It is not intended to be a complete list of assigned duties but to describe a position level.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Data Axle
About
Data Axle is a data-driven marketing solutions provider that helps clients with clean data, lead generation, strategy development, campaign design, and day-to-day execution needs. It solves the problem of inaccurate and incomplete data, enabling businesses to make informed decisions and drive growth. Data Axle operates in various industries, including healthcare, finance, retail, and technology.
About Data Axle:
Data Axle Inc. has been an industry leader in data, marketing solutions, sales, and research for over 50 years in the USA. Data Axle now has an established strategic global center of excellence in Pune. This center delivers mission
critical data services to its global customers powered by its proprietary cloud-based technology platform and by leveraging proprietary business and consumer databases.
Data Axle India is recognized as a Great Place to Work!
This prestigious designation is a testament to our collective efforts in fostering an exceptional workplace culture and creating an environment where every team member can thrive.
Tech stack
Python
Django
Flask
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AngularJS (1.x)
Amazon Web Services (AWS)Candid answers by the company
Data Axle helps clients create a foundation of clean data, find new leads, develop winning strategies, design beautiful campaigns, and can handle all day-to-day execution needs.
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Follow CutshortShubham Vishwakarma
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