Job Location: United States
AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation.
AHEAD is committed to a community of diversity, equity, and inclusion. We encourage applications from women, underrepresented minorities, persons with disabilities, sexual minority groups, and all other candidates who will contribute to the diversification and enrichment of ideas and perspectives here at AHEAD.
We are on this journey to ensure that all AHEADians feel that they can authentically show up and belong at work.
AHEAD is looking for Data Migration Engineer to work closely with our dynamic project teams (both on-site and remotely). This Data Migration Engineer will be responsible for providing technical expertise to help organizations design, architect, and implement large database migrations, generally from on-premises systems to cloud-based solutions.
The consultant will have to have previous experience guiding migrations from technical perspective. Examples would be migrating existing MSSQL server environment with 20 to 200 servers to Azure. They should have the experience recommend tools to assist the migration, and the technical skills to operate them.
This consultant will architect, design, build, and support modern data environments that reside in the public cloud or multi-cloud enterprise architectures. They will be expected to be hands-on, but also be client-facing and present to leadership.
Responsibilities
- Assess existing database environments migration planning
- Design appropriate target architectures in the Cloud platform
- Document design and key technical issues for communication with client engineers
- Integrate solution with data governance monitoring tools
- Knowledgeable about the various platforms used for ingesting, cleansing and transformation of data, both legacy and cloud solutions.
- Engineers and supports data structures including but not limited to SQL and NoSQL databases
- Leverages the right tools for the right job to deliver testable, maintainable, and modern data solutions
- Respond to customer/team inquiries and assist in troubleshooting and resolving challenges
- Works with and guides other scrum team members to estimate and deliver work inside of a sprint
- Research data questions identify root causes and interact closely with business users and technical resources
Qualifications
- 3+ years of professional technical experience with real world experience migrating existing data environments to the cloud
- Deep understanding of SQL and related technologies
- Experience with building highly scalable Big Data solutions using Hadoop, Spark, stream processing, and Lambda architecture
- Experience in an IT strategy & enterprise architecture / consulting role in an organization that has executed large scale migrations to cloud.
- Proven experience with Cloud infrastructure and security
- Experience implementing complex solutions in large enterprise companies
- Cloud Certification (AWS, Azure, GCP) would be advantageous
- Strong client-facing communication and facilitation skills
Key Skills
- Organizing and running complex data migrations to the cloud (AWS, Azure, GCP)
- Data Migration tools (Striim, iSpirer, DVT)
- Migvisor
- Traditional data environment (OLAP/OLTP servers, ETL platforms)
- Cloud Data Services
- Oracle or MSSQL, NoSQL, ETL/ELT, Spark, Data Warehouse, Data Lake, Snowflake
Why AHEAD
Through our daily work and internal groups like Moving Women AHEAD and RISE AHEAD, we value and benefit from diversity of people, ideas, experience, and everything in between.
We fuel growth by stacking our office with top-notch technologies in a multi-million-dollar lab, by encouraging cross department training and development, sponsoring certifications and credentials for continued learning.
We understand that you have a life outside of work. That’s why we offer flexible paid time off, paid company holidays, and the ability for you to manage your work schedule as needed.
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