Data Architect/Sr Data Architect

Logoslabs; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Logoslabs is seeking a Cloud Architect for its Professional Services team in San Francisco. You will design, implement, migrate to, and manage clients' data-driven cloud architectures using AWS, collaborating with teams to move data systems to the cloud and build scalable data platforms.

You will guide data engineering initiatives, mentor team members, and help define technology roadmaps to meet client needs while staying current with industry trends.

Qualifications

• 5+ years professional IT experience.
• 2+ years AWS or Azure experience.
• At least one 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 tools like Informatica, Talend or Pentaho to integrate and move data between systems.
• Big data frameworks like Hadoop, Spark, Kafka 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.

Responsibilities

• Design, implement, migrate to, and manage clients' data-driven cloud architectures and infrastructure using AWS/Azure.
• Migrate systems to hybrid or cloud-based solutions.
• Troubleshoot and optimize clients' cloud infrastructure.
• Collaborate with developers to support and maintain application lifecycles.
• Assist with design and implementation of new cloud architecture following best practices.
• Provide technology roadmaps and recommendations to meet business needs in client projects.
• Participate in team meetings and cross-functional interactions.
• Keep team members and supervisors informed of progress and issues.
• Contribute to R&D projects to validate/invalidate new services offerings.
• Mentor and guide delivery team members in technical and non-technical capacity.
• Stay current with technology trends and new technologies.
• Propose latest technology usage and integration standards.

Skills

Cloud architecture

Data pipelines

ETL design

Big data

ML modeling

Mentoring

Analytical thinking

Customer focus

Education

AWS or Azure Certification (professional level)

Tools

Informatica

Talend

Pentaho

Hadoop

Spark

Kafka

TensorFlow

PyTorch

Keras

Scikit-Learn

PostgreSQL

MySQL

MongoDB

Cassandra

Python

R

Java

Scala

Lambda architecture

Job description

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.

Responsible for:

• 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.