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.
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