Senior Data Solutions Architect

2 weeks ago

Bhubaneshwar, Odisha, India Spikewell Full time
Job Title: Senior Data Solutions Architect

We are seeking an experienced and highly skilled data professional to join our team as a Senior Data Solutions Architect. This role involves developing, maintaining, and optimizing data pipelines using Azure Data Factory, ensuring efficient data ingestion and ETL processes from various upstream sources.

This position requires designing and implementing scalable data models that meet both analytical and operational needs. The successful candidate will also be responsible for managing and organizing large datasets to ensure data quality, integrity, and compliance with healthcare regulations.

The ideal candidate will have 4+ years of experience in data engineering and proficiency in Azure Data Lakehouse architecture, Azure Data Factory, data modeling, and Informatica. Additionally, they should have knowledge of healthcare industry standards and regulations, such as HIPAA, and experience in securing sensitive data within cloud environments.

Key Responsibilities:

  • Data Pipeline Development: Develop, maintain, and optimize data pipelines using Azure Data Factory for efficient data ingestion and ETL processes.
  • Data Modeling: Design and implement scalable data models that meet both analytical and operational needs.
  • Data Management: Manage and organize large datasets to ensure data quality, integrity, and compliance with healthcare regulations.
  • Troubleshooting: Troubleshoot and resolve data-related issues to enhance system performance and reliability.
  • Data Governance: Assist in managing the data governance platform (Informatica), including data cataloging, metadata management, and data lineage.
  • Policies and Procedures: Implement and enforce data governance policies and procedures.
  • Data Quality Initiatives: Participate in data quality initiatives to ensure accuracy, integrity, and consistency across datasets.
  • Collaboration: Collaborate with onshore team members, maintaining overlapping working hours as needed for effective communication.

Required Skills and Knowledge:

  • 4+ Years of Experience: 4+ years of relevant experience in data engineering is a must.
  • Azure Data Lakehouse Proficiency: Experience with Azure Data Lakehouse architecture for data storage and analytics.
  • Azure Data Factory Expertise: Skilled in developing, maintaining, and optimizing data pipelines using Azure Data Factory for data ingestion and ETL processes.
  • Data Modeling Skills: Ability to design and implement efficient data models that meet analytical and operational requirements.
  • Informatica Experience: Knowledge of using Informatica for data governance, including data cataloging, metadata management, and data lineage.
  • Data Governance Principles: Familiarity with data governance implementation and policy enforcement.
  • Data Quality Management: Experience in maintaining data accuracy, integrity, and consistency across large datasets.
  • Healthcare Data Regulations: Understanding of healthcare industry standards and regulations such as HIPAA to ensure data security and compliance.
  • SQL and Programming Skills: Proficiency in SQL and possibly other programming languages like Python or Scala used in data engineering.
  • Large Dataset Management: Ability to manage and organize large volumes of data efficiently.
  • Data Security Practices: Knowledge of best practices for securing sensitive data within cloud environments.

Estimated Salary: $120,000 - $180,000 per year, depending on experience and qualifications.

Benefits:

  • Competitive Salary: We offer a competitive salary based on experience and qualifications.
  • Opportunities for Growth: Opportunities for professional development and certifications.
  • Collaborative Environment: A collaborative and innovative work environment, with a focus on healthcare IT.
  • Impactful Projects: The opportunity to work on impactful projects that improve patient care and healthcare services.

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