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Data Infrastructure Manager Jobs in Connecticut (NOW HIRING)

Trexquant Investment

Senior Data Engineer

Stamford, CT · On-site

$150K - $200K/yr

Working closely with quantitative researchers, data platform engineers, and infrastructure teams ... Own the normalization, validation, storage, and lifecycle management of research datasets, ensuring ...

Trexquant Investment

Senior Data Engineer

Stamford, CT · On-site

$150K - $200K/yr

Working closely with quantitative researchers, data platform engineers, and infrastructure teams ... Own the normalization, validation, storage, and lifecycle management of research datasets, ensuring ...

Pwc

AI & GenAI Data Scientist-Director

Hartford, CT · On-site

$155K - $410K/yr

Industry/Sector Not Applicable Specialism Data Science Management Level Director & Summary The ... infrastructure and integration to support scalable AI systems - Driving business growth by ...

Pwc

AI & GenAI Data Scientist-Director

Stamford, CT · On-site

$155K - $410K/yr

Industry/Sector Not Applicable Specialism Data Science Management Level Director & Summary The ... infrastructure and integration to support scalable AI systems - Driving business growth by ...

Pwc

Data Engineer - Manager

Stamford, CT

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... In data engineering at PwC, you will focus on designing and building data infrastructure and ...

Pwc

Data Engineer - Manager

Hartford, CT

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... In data engineering at PwC, you will focus on designing and building data infrastructure and ...

Pwc

Data Engineer - Senior Associate

Hartford, CT

$77K - $202K/yr

... Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and building data infrastructure and systems to enable efficient data ...

Pwc

Data Engineer - Senior Manager

Stamford, CT · On-site

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... As a Senior Manager you lead large projects, innovate processes, and maintain operational ...

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Data Infrastructure Manager information

What are the key skills and qualifications needed to thrive as a data infrastructure manager?

To thrive as a Data Infrastructure Manager, you need expertise in data architecture, storage solutions, and database administration, typically backed by a degree in computer science or a related field. Familiarity with tools like SQL, Hadoop, cloud platforms (AWS, Azure, or Google Cloud), and certifications such as AWS Certified Solutions Architect are highly valuable. Strong leadership, problem-solving, and communication skills help you effectively manage teams and collaborate with stakeholders. These skills and qualities ensure reliable, scalable data systems that support organizational goals and data-driven decision making.

What is the difference between Data Infrastructure Manager vs Data Engineer?

AspectData Infrastructure ManagerData Engineer
Primary FocusOversees data systems, infrastructure, and architecture managementBuilds, develops, and maintains data pipelines and models
Required SkillsData architecture, leadership, project managementProgramming, ETL processes, database management
CertificationsCloud certifications, data management certificationsSQL, Python, cloud platform certifications
Work EnvironmentManagement, strategic planning, cross-team collaborationHands-on coding, data pipeline development

The Data Infrastructure Manager focuses on overseeing and managing the company's data systems and architecture, ensuring data availability and security. In contrast, Data Engineers are primarily responsible for designing and building the data pipelines and tools needed for data analysis. Both roles require technical skills and certifications, but the Manager role emphasizes leadership and strategic oversight, while the Engineer role is more technical and implementation-focused.

What is a data infrastructure manager?

Data Infrastructure Managers are professionals responsible for overseeing the design, implementation, and maintenance of an organization's data systems and architecture. They ensure that data storage, processing, and retrieval systems are efficient, secure, and scalable to meet business needs. Their role typically involves managing a team of data engineers, collaborating with IT and business units, and setting strategies for data governance and compliance. Data Infrastructure Managers play a critical role in enabling reliable data analytics and business intelligence by maintaining robust data pipelines and platforms.

What are some common challenges faced by data infrastructure managers, and how can they be addressed?

Data Infrastructure Managers often encounter challenges such as scaling systems to handle increasing data volumes, ensuring high availability, and integrating new technologies with legacy systems. Addressing these issues typically involves proactive capacity planning, implementing robust monitoring and alerting tools, and fostering cross-functional collaboration with data engineering and IT security teams. Staying up-to-date with industry best practices and investing in staff training can also help mitigate these challenges and ensure reliable, scalable infrastructure.
What are the most commonly searched types of Data Infrastructure jobs in Connecticut? The most popular types of Data Infrastructure jobs in Connecticut are:
What are popular job titles related to Data Infrastructure Manager jobs in Connecticut? For Data Infrastructure Manager jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Data Infrastructure Manager jobs in Connecticut look for? The top searched job categories for Data Infrastructure Manager jobs in Connecticut are:
What cities in Connecticut are hiring for Data Infrastructure Manager jobs? Cities in Connecticut with the most Data Infrastructure Manager job openings:
Data Infrastructure Manager jobs near you

Product Manager, Data Infrastructure and Management

SEMA4

Stamford, CT • On-site

Full-time

Re-posted 3 days ago

Job description

Sema4 is a patient-centered health intelligence company dedicated to advancing healthcare through data-driven insights. Sema4 is transforming healthcare by applying AI and machine learning to multidimensional, longitudinal clinical and genomic data to build dynamic models of human health and defining optimal, individualized health trajectories. Centrellis®, our innovative health intelligence platform, is enabling us to generate a more complete understanding of disease and wellness and to provide science-driven solutions to the most pressing medical needs. Sema4 believes that patients should be treated as partners, and that data should be shared for the benefit of all.
The Product Manager, Data Infrastructure and Management delivers and supports data infrastructure products that convert molecular diagnostic laboratory assay data to insights about the molecular makeup of patient cells. These products are the core of sophisticated clinical diagnostics serving thousands of patients per week and enable high-volume research projects in human disease. As part of the Data Infrastructure and Management team in the Production Bioinformatics department, the Product Manager will work closely with the scientific director and the lead engineer of each software and database product to define and execute the translation of scientific and engineering innovation into high-throughput analysis methods for a data sciences company. The product manager is responsible for clear definition and timely delivery of the data products and their successful integration and deployment as part of Sema4's data sciences platform built by collaborative inter-disciplinary teams (science, engineering, clinical, and business/product).
RESPONSIBILITIES
  • Own and manage the roadmap, feature backlog, work plan, and release schedule for a portfolio of data infrastructure products by closely working with scientific, clinical, business, product, scientific compute/IT, and project management teams to make the large volume of data generated at Sema4 accessible programmatically and via user interfaces to serve business needs
  • Translate business requirements for these data products into detailed technical requirements, designs, specifications, and work definitions for scientific and engineering teams
  • Carry out detailed design and write technical specifications for features, workflows, data flows, application programming interfaces (APIs), file formats, data schemas, and data payloads used within these databases and applications as well as for communication of these specifications to other users and product owners in the Sema4 analytics ecosystem
  • Estimate product delivery time, effort, risks, and dependencies in collaboration with project management on other teams, as well as communicate status updates between all levels
  • Communicate about complex technical/scientific problems between teams and stakeholders at all levels and work with them to solve, as well as generally facilitate inter-team communication by mocking up illustrative examples that help people from diverse backgrounds find a common understanding
  • Support the data products for a multitude of users and data consumers at Sema4 by becoming a subject matter expert and serving as the products' primary representative and contact person, including providing training
  • Co-lead the execution and continuous improvement of the software development life cycle (SDLC) of the data pipeline product portfolio
  • Write and maintain clear business and technical documentation for target audiences from various backgrounds (scientific, software/IT, clinical, business, project management)

QUALIFICATIONS
  • Bachelor's degree in a relevant computational or biomedical field.
  • Minimum 3 years of relevant experience, e.g. software product development, software engineering or programming, data science or analysis, bioinformatics/genomics research, systems engineering
  • Excellent written and verbal communication, including via visualizations, on inter-disciplinary teams about complex technical topics
  • Some programming experience, especially in Python, R, and SQL
  • Knowledge of git and software management/lifecycle
  • Knowledge of AWS products such as S3, RDS, DynamoDB, Redshift, Lambda, and Elastic Beanstalk are a plus but not required
  • Knowledge of MongoDB or other NoSQL database a plus

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