Data Engineering Intern working on data pipelines and infrastructure in fast - growing fintech. Collaborating with data engineers, learning best practices and developing data solutions.
About the role
- Senior Data Architect developing data architecture plans at The Hartford, collaborating with internal teams to align data standards and practices. Leading complex solutions with a focus on operational effectiveness.
Responsibilities
- Develops data architecture plans and drives the plans to fruition in collaboration with Data Owners and Solution Architects, Technology Leads & Data modelers
- Defines and enforces data architecture standards, procedures, metrics, and policies to ensure consistency and adherence processes and ensure that is operational
- Translate advanced business analytics problems into technical and data design approaches that yield actionable recommendations, across multiple, diverse domains; Creates, maintains, and communicates current and target state data architecture for data domains within an assigned subject area
- Guides application development teams in the data design of complex solutions and ensures that teams are in alignment with the data architecture principles, standards, strategies, and target states.
- Facilitates the transition from high level design and supports the project lifecycle with input from management where needed.
Requirements
- Bachelor’s Degree and 8-10 +years of relevant professional experience
- Robust Data Architecture skills - sets direction for and possesses a deep understanding of data architecture patterns which integrate with industry trends.
- Experience in data management, data warehousing, data modeling, and business intelligence, and/or master data management, metadata management concepts and ETL frameworks.
- Experience with reporting /data visualization tools.
- Experience in Agile development processes.
- Experience with large-scale data methods and technology.
- Experience with Snowflake and IDMC.
- Experience with AWS Cloud based data storage and processing technologies.
- Strong experience with SQL Server and /or Oracle or any other database platforms.
- Portfolio delivery experience: engages in the full lifecycle experience, from planning to delivery and management of the solution lifecycle to produce solution designs that are viable and can be successfully constructed, implemented, operated and managed.
- Ability to independently learn new technologies and data related approaches.
- Effective writing and presentation skills.
- Candidate must be authorized to work in the US without company sponsorship.
Benefits
- Bonuses
- Long-term incentives
- On-the-spot recognition
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Senior Software Engineer building and maintaining data infrastructure for Gusto. Collaborating with Data Science and Business Intelligence teams to achieve their goals.
Data Engineer building and maintaining scalable data pipelines for AI Search Infrastructure at You.com. Collaborating across teams to ensure data quality and enable AI capabilities.
Data Engineer developing and managing technology - based data solutions for clients in different industries in Greece. Participating in software development lifecycle within Agile team setting.
Data Architect leading design and governance of high - quality data architectures for clients. Collaborating with engineering teams and stakeholders to transform business challenges into scalable data solutions.
Data Engineer supporting vehicle buying and selling solutions through integration pipelines. Collaborating with teams to build digital vehicle platforms and optimize data processes in São Paulo.
Senior Advanced Data Engineer designing and optimizing data architecture for Honeywell. Collaborating with cross - functional teams to drive data - driven decision - making and operational efficiency.
Senior Data Engineer building and operating data platforms at bsport for analytics and AI/ML. Collaborating with Data team to enrich data layers and maintain platform observability.
Principal HR Data Engineer specializing in Microsoft Azure and Databricks Lakehouse platforms. Responsible for designing, implementing, and maintaining scalable data pipelines and architectures for analytics.
Manager, Business Solutions Data overseeing data processing lifecycle and team development at Ryan. Partnering with clients and teams to drive data solutions and operational excellence.