GCP Data Architect

Responsibilities ·        Responsible for defining enterprise level Data modernization & transformation solution on Google Cloud Platform and adoption strategy for customers ·        Architecture and solution design of cloud data strategy and platform aligned with the business objectives ·        Responsible for evaluating the google cloud native services and other technologies for our customer needs and recommending the best fit for them aligning to their future vision and strategy ·        Work collaboratively with various teams across geographies and contribute to build, evangelize data architecture & AI/ML best practices, re-usable assets and solutions ·        Based on Customer specific requirements and use cases, architect solutions and end to end ownership of iterating and ensuring the solutions are deployed and fit for purpose ·        Design and streamline enterprise data architectures and pipelines and architect solutions which are intuitive, interoperable, extensible, scalable and are continuously learning and improving ·        Expected to travel to assigned customers/engagements(average 50%) Qualifications ·        12+ years of experience working in Enterprise Data Warehouse technologies ·        Minimum needed certifications: Google Cloud Certified Professional Cloud Architect/Google Cloud Certified Professional Data Engineer ·        Preferred additional certifications: Google Cloud Professional ML Engineer, Other Cloud (AWS/Azure) Data & AI/ML related certifications ·        Solid in-depth hands-on experience and understanding of data lakes and data warehouse architectures, ·        designs, implementations and hybrid data architectures on Google cloud, other clouds and migration of on-prem to cloud ·        Experience in handling structured and unstructured data from many sources and deep knowledge about batch and streaming data processing methods ·        Solid understanding of data virtualization, data catalogues, metadata management, data ingestion, data visualization, data governance, security and data quality management frameworks, tools and evolving technology landscape ·        Deep experience in implementing enterprise data lake or data house modernization programs ·        Customer facing migration & modernization experience, including discovery, assessment, planning, design, implementation and Data& ML Ops ·        Extensive hands on experience with SQL, Databricks, Unity Catalog, BigQuery, PySpark ·        Experience with building software code in one or more languages such as Java, Python and SQL ·        Deep understanding and working experience on advanced analytics, AI algorithms and Machine Learning techniques ·        Work experience with geographically distributed teams and off-shore models ·        Excellent verbal and written communication skills, facilitation and presentation skills ·        Ability to interact professionally with a diverse group of stakeholders (senior executives, operations, customer service & partners) ·        Enjoys working in an autonomous, dynamic, and challenging environment. ·        Team player who enjoys fluidity, change, and flexible working arrangements ·        Self-starter & a team player who enjoys fluidity, change, and flexible working arrangements, wants to get involved, make a difference, enjoys working in a dynamic, and fast paced environment