AI Data Architect

Innovative Solutions; United States; On-site; USD 150,000 - 190,000; Full time

Job summary

A leading tech solutions provider in the United States is seeking a Data Architect/Sr Data Architect to design and manage clients' data-driven cloud architectures using AWS. This role demands strong experience in cloud systems, data modeling, and mentoring. Ideal candidates will have over 5 years in IT and at least 2 years with AWS or Azure. A competitive salary of $150,000.00 - $190,000.00 annually is offered.

Qualifications

• 5+ years professional IT experience.
• 2+ years professional AWS or Azure experience.
• Programming languages like Python, R, Java, Scala to build data pipelines.
• SQL and NoSQL databases experience.
• Data modeling skills for design of data models.

Responsibilities

• Designing and implementing cloud architecture for clients.
• Migrating systems to hybrid or cloud solutions.
• Optimizing clients’ cloud infrastructure.
• Supporting application lifecycles.
• Mentoring team members on data architecture.

Skills

Analytical thinking

Customer experience delivery

Building trusting relationships

Cloud-first approach

Education

AWS or Azure Certification (professional level)

Tools

Informatica

Talend

Hadoop

Spark

Tensorflow

PyTorch

Job description

Data Architect/Sr Data Architect role at Innovative Solutions

Base pay range

$150,000.00/yr - $190,000.00/yr

Responsibilities

As a Cloud Architect on our Professional Services team, you will be responsible for designing, implementing, migrating to, and managing clients' data-driven cloud architectures and infrastructure using AWS. You will work alongside team members to help migrate customer data systems to the cloud, build and optimize data pipelines and analytics solutions, architect scalable data platforms, recommend data technologies and storage solutions to meet client needs, contribute to data engineering R&D initiatives, and mentor team members on data architecture best practices.

• Creating, implementing, and maintaining cloud architecture for clients
• Migrating systems to hybrid or cloud-based solutions
• Troubleshooting and optimizing clients’ cloud infrastructure
• Working with developers to support and maintain application lifecycles
• Assisting with design and implementation of new cloud architecture that follow best practice guidelines
• Working with Project Managers and clients to provide recommendations and technology roadmaps to meet their business needs
• Actively participating in team meetings and cross-functional interactions
• Keeping team members and supervisors informed of progress and issues
• Actively contributing in client project status meetings
• Contributing to R&D projects to validate/invalidate new services offerings
• Mentoring and guiding members of the delivery team in a technical and non-technical capacity
• Remaining current with technology trends and new technologies
• Proposing latest technology usage and integration standards

How you will be successful

• Living and breathing the “cloud-first” approach
• Having a high degree of analytical thinking capability to solve complex business problems
• Obsessively delivering amazing customer experiences
• Becoming a subject matter expert in one or more cloud platforms in 9-12 months
• Building trusting relationships with team members and collaborating departments
• Comfortable with pushing boundaries and technical limits (maintain technical aptitude and knowledge of industry)
• Always be learning

What experience you need

• 5+ years professional IT experience
• 2+ years professional AWS or Azure experience
• At least (1) AWS or Azure Certification (professional level)
• Programming languages like Python, R, Java, Scala etc. to build data pipelines, perform data analysis and create machine learning models
• SQL and NoSQL databases like PostgreSQL, MySQL, MongoDB, Cassandra etc. to store and query large datasets
• Data modeling skills - ability to design conceptual, logical and physical data models
• Understanding of dimensional modeling, star schemas, data warehouses
• ETL (Extract, Transform, Load) tools like Informatica, Talend, Pentaho etc. to integrate and move data between systems
• Big data frameworks like Hadoop, Spark, Kafka etc. for distributed data processing and building data lakes
• Machine learning frameworks like Tensorflow, PyTorch, Keras, Scikit-Learn for building ML models
• Knowledge of data architecture patterns like lambda, kappa architecture. Ability to design scalable and flexible data pipelines

Compensation Disclosure

The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate’s professional experience, key skills, and education/training. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.