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Data Architect

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Onsite

Data Architect

Amgen Inc

Data Architect

Skills

SQL QueriesBig DataPythonPostgreSQLMySQLKafkaSnowflakeAmazon RedshiftDatabricksMachine LearningAIScalaAWSPySparkServiceNowHadoop

2 months ago

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Important information


Contract type:

Permanent

Location:

Hyderabad, Telangana, India

Work mode:

Onsite

Published on:

11 August 2026

What they need


What you will do

Lets do this. Lets change the world. In this vital role you will be responsible for developing and maintaining the overall IT architecture of the organization. This role involves defining the architecture vision, creating roadmaps, and ensuring that IT strategies align with business goals in the Hire to Retire capability and more specifically to Human Resources Service Delivery module in ServiceNow. You will be working closely with partners to understand requirements, develop architectural blueprints, and ensure that solutions are scalable, secure, and aligned with enterprise standards. Architects will be involved in defining the enterprise architecture strategy, guiding technology decisions, and ensuring that all IT projects adhere to established architectural principles.

Roles Responsibilities:

  • Develop and maintain the enterprise architecture vision and strategy, ensuring alignment with business objectives for Corporate Functions data architecture. Collaborating closely with business clients and key stakeholders to align solutions with strategic objectives.
  • Create and maintain architectural roadmaps that guide the evolution of IT systems and capabilities for Corporate Functions data architecture
  • Establish and enforce architectural standards, policies, and governance frameworks
  • Evaluate emerging technologies and assess their potential impact on the solution architecture
  • Identify and mitigate architectural risks, ensuring that IT systems are scalable, secure, and resilient
  • Maintain comprehensive documentation of the architecture, including principles, standards, and models
  • Drive continuous improvement in the architecture by finding opportunities for innovation and efficiency
  • Work with partners to gather and analyze requirements, ensuring that solutions meet both business and technical needs
  • Evaluate and recommend technologies and tools that best fit the solution requirements for Corporate Functions Data needs
  • Ensure seamless integration between systems and platforms, both within the organization and with external partners
  • Design systems that can scale to meet growing business needs and performance demands
  • Design and manage metadata structures to enhance information retrieval and usability

What we expect of you

We are all different, yet we all use our unique contributions to serve patients.

Basic Qualifications:

  • Masters degree or Bachelors degree in Computer Science, Business, Engineering, IT or related field

AND

  • 9+ years of relevant work experience

Preferred Qualifications:

Functional Skills:

Must-Have Skills:

  • Strong architectural design and modeling skills
  • Proficiency in Python, PySpark, and Scala for data processing and ETL (Extract, Transform, Load) workflows, with hands-on experience in using Databricks for building ETL pipelines and handling big data processing
  • Experience with data warehousing platforms such as Amazon Redshift, or Snowflake.
  • Strong knowledge of SQL and experience with relational (e.g., PostgreSQL, MySQL) databases.
  • Familiarity with big data frameworks like Apache Hadoop, Spark, and Kafka for handling large datasets.
  • Experience directing solution design, business processes redesign and aligning business requirements to technical solutions in a regulated environment

Good-to-Have Skills:

  • Strong solution design and problem-solving skills
  • Strong understanding of data modeling, data warehousing, and data integration concepts
  • Understanding of machine learning pipelines and frameworks for ML/AI models
  • Experience in developing differentiated and deliverable solutions

Professional Certifications:

  • Databricks Certified (preferred)
  • AWS Certified Data Engineer (preferred)

Soft Skills:

  • Excellent critical-thinking and problem-solving skills
  • Strong communication and collaboration skills
  • Demonstrated awareness of how to function in a team setting
  • Demonstrated awareness of presentation skills

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