Data Architecture Leader

3 days ago

Hyderabad, Telangana, India beBeeEngineering Full time ₹ 1,80,00,000 - ₹ 2,40,00,000
Senior Engineering Manager Role

Our organization seeks an experienced Senior Engineering Manager to oversee the end-to-end management of enterprise data assets and operational data workflows.

Key Responsibilities:
  • Lead and manage a team of data engineers responsible for data ingestion, processing, validation, quality control, and publishing to various downstream systems.
  • Develop and implement standard operating procedures for data lifecycle management, ensuring availability, accuracy, completeness, and integrity of critical data assets.
  • Oversee and continuously improve daily operational workflows, including scheduling, monitoring, and troubleshooting data jobs across cloud and on-premise environments.
  • Establish and track key data operations metrics, SLAs, throughput, latency, data quality, incident resolution, and drive continuous improvements.
  • Collaborate with data engineering and platform teams to optimize pipelines, support new data integrations, and ensure scalability and resilience of operational data flows.
Required Skills and Qualifications:
  • Mandatory Skills: Experience managing a team of data engineers in biotech/pharma domain companies, designing and maintaining data pipelines and analytics solutions that extract, transform, and load data from multiple source systems, demonstrated hands-on experience with cloud platforms (AWS), and ability to architect cost-effective and scalable data solutions.
  • Desirable Skills: Data Engineering Management experience in Biotech Life Sciences Pharma, using graph databases such as Stardog or Marklogic or Neo4J or Allegrograph, etc., experience in life sciences/healthcare or other regulated industries with large-scale operational data environments.
Requirements:
  • 12-15 years of experience in Computer Science/IT or related field.
  • Databricks Certificate preferred.
  • Scaled Agile SAFe certification preferred.
Soft Skills:
  • Excellent analytical and troubleshooting skills.
  • Strong verbal and written communication skills.
  • Ability to work effectively with global/virtual teams.
  • High degree of initiative and self-motivation.
  • Ability to manage multiple priorities successfully.

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