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Lead Data Modeler
$113,000 - 176,700
Hologic
South Street 250, Marlborough
$113,000 - 176,700
Requirements
Must:
We are seeking candidates with a Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical field combined with 8 years of professional experience; alternatively, a Master’s degree with 6 years of relevant experience is acceptable. You should have a solid foundation as an experienced professional with a complete understanding of data modeling and its associated specializations, often working independently on a variety of complex issues. Essential skills include a thorough knowledge of data modeling concepts (conceptual, logical, physical) and enterprise data architecture, along with expertise in modern data modeling tools (such as ER/Studio, Erwin, UML, Microsoft Visio, and Lucid). Familiarity with cloud data platforms, especially Microsoft Azure and Databricks, along with experience in ERP and CRM systems, is necessary. An understanding of data governance, metadata management, data lineage, and master data management (MDM) strategies is also required. Strong communication skills are a must, allowing you to convey technical ideas to both business and technical audiences effectively.
Responsibilities
In the role of Data Modeler at Hologic, your primary duties will include designing, developing, and maintaining conceptual, logical, and physical data models that facilitate enterprise analytics and reporting. You will translate business needs into scalable and reusable data models that comply with data architecture principles and governance frameworks. You will create and maintain metadata, data definitions, lineage, and MDM structures to ensure clarity and consistency throughout the organization. Collaboration with stakeholders is key, as you will document and communicate data flows, relationships, and definitions to both technical and non-technical stakeholders. Additionally, you will support business intelligence (BI) and analytics initiatives by ensuring that data models enable effective reporting, dashboards, and advanced analytics. It will also be vital to ensure compliance with regulatory and security requirements, such as HIPAA and GDPR, across all data assets. You will contribute to continual improvement by advocating for best practices in data quality, governance, and modeling standards.
Description
Are you ready to make an impact in women’s health? If so, we invite you to apply today and become part of our team of dedicated innovators at Hologic! The expected annual salary range for this position is between $113,000 and $176,700, with the potential for bonuses. The final compensation will depend on various factors including experience, skillset, knowledge, location, education, business needs, and market demand. Hologic, Inc. proudly equality recognizes the importance of diversity and is an Equal Opportunity Employer, inclusive of individuals with disabilities and veterans.
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You can find Data Engineer salaries in the United States here.
How many Data Engineer jobs are in the United States?
Currently, there are 895 Data openings. Check also: Spark jobs, Snowflake jobs, Kafka jobs, Hadoop jobs - all with salary brackets.
Is the US a good place for Data Engineers?
The US is one of the best countries to work as a Data Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.
Which companies are hiring for Data Engineer jobs in the United States?
Sperasoft, Bain Magique, Archon Systems Inc, Journey Freight International inc, Puter Technologies Inc., Ontario One Call, HAPLY Robotics Inc. among others, are currently hiring for Data roles in the United States.
The company with most openings is Leidos as they are hiring for 88 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.
The company with most openings is Leidos as they are hiring for 88 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.