Duration: Direct Hire/Permanent
Compensation: up to $175k Base + Bonus + Benefits
Location: On-site Post Covid

*** No Vendors/3rd parties. ***

*** U.S. Citizens and those authorized to work in the U.S. are encouraged to apply. We are unable to sponsor or transfer visas at this time. ***

As a Cloud Data Architect, you will be responsible for designing and delivering innovative solutions using related cloud technologies such as AWS, Google Cloud Platform and/or Azure. You'll be working directly with clients to help define their cloud data strategy and translating their needs through the implementation of cutting-edge data solutions.

Responsibilities:

• Lead analysis, architecture, design, and development of data warehouse, data lake and business intelligence solutions.

• Research, analyze, recommend, and select technical approaches for solving difficult and challenging migration, development and integration problems.

• Conduct and support white-boarding sessions, workshops, design sessions, and project meetings as needed, playing a key role in client relations.

• Lead and contribute to data implementation projects and/or project independent workstreams.

• Work independently, or as part of a team, to design and develop enterprise data solutions.

• Mentor junior team members.

• Ability to creatively take on new challenges and work outside comfort zone.

• Strong written and oral communications along with presentation and interpersonal skills as well as the ability to learn new technologies and analytics techniques while on the job.

Qualifications:

• Minimum 7+ years of developing cloud solutions using data services.

• Demonstrated experience with some of the following: Amazon Web Services, Google Cloud Platform, Microsoft Azure, Snowflake, Databricks, Airflow, and/or other cloud solutions, architecture, related technologies.

• Understanding of distributed systems and architecture design trade-offs.

• Prior implementation experience and/or exposure to data architectures like Delta Lake and/or Lambda for designing data ingestion frameworks for both real time and batch processing.

• 5+ years in data modeling and data architect role for enterprise data modeling across multi-subject areas.

• Experience with conceptualizing and architecting data lakes on cloud-centric platforms; should be able to articulate the value and key components of data lakes.

• Must be hands on with SQL and relational database design and development as well as Python for data-intensive integration tasks.

• Hands-on development experience using and migrating data to cloud platforms (i.e. lift-and-shift).

• Bachelor's degree in Computer Engineering, Computer Science, or related discipline.

Nice to have:

• Experience in languages such as Spark and Kafka.

• Experience with designing digital data platforms leveraging clickstream data from Adobe Analytics (Omniture/SiteCatalyst) or Google Analytics.

• Experience working in Agile Scrum teams.

• Linux and Windows proficiency.

• Management consulting experience.

• Project management experience.