Cloud Data Architect

Job Description: At Go Digital Technology Consulting LLP (GDTC), we are redefining the future of data consulting and services. Our expertise spans Data Engineering, Analytics, and Data Science, enabling us to craft cutting-edge cloud data solutions tailored to our clients' unique needs. Specializing in AWS, Azure, and Snowflake, we empower organizations to harness the full potential of their data, transforming it into actionable insights that drive impact. Our team is a dynamic mix of technologists, product managers, thinkers, and architects, unified by the vision to deliver exceptional value. By blending technological expertise with a deep understanding of business needs, we create solutions that not only meet expectations but set new industry benchmarks. Join us on a transformative journey where your skills and vision will directly shape the future of cloud data architecture. Role Summary: As a Cloud Data Architect , you will play a pivotal role in designing and implementing scalable, high-performance cloud-native data architectures. You will lead the architecture of complex, large-scale data environments while fostering innovation and delivering robust solutions that drive business value. Key Technologies / Skills: Mastery of SQL, Python, PySpark, and Shell scripting. Expertise in data modeling and big data ecosystems (e.g., Hadoop, Hive) and ETL pipelines. Deep understanding of cloud-native data solutions across AWS, Azure, or GCP, with experience in Snowflake. Strong knowledge of modern data architectures, including serverless computing, data lakes, and analytics solutions. Responsibilities: Design and implement innovative cloud-native data architectures, translating business needs into scalable and sustainable solutions. Lead technology selection, ensuring alignment with client needs and organizational standards. Develop comprehensive high-level design documents and frameworks to guide project execution. Architect and optimize ETL pipelines, ensuring efficient data ingestion, transformation, and storage in the cloud. Champion best practices for data governance, security, and compliance in cloud environments. Conduct performance tuning and optimization of cloud-based data platforms. Collaborate with stakeholders to align architectural solutions with business objectives. Support pre-sales efforts by providing technical insights and creating compelling proposals. Mentor and coach technical leads, enabling their growth into future data architects. Stay ahead of emerging technologies and trends, driving continuous innovation in data engineering and architecture. Required Qualifications: 10+ years of experience in data engineering and architecture, with a focus on cloud hyperscalers (AWS, Azure, GCP). Proven expertise in cloud-native data solutions, including Snowflake and modern data lake architectures. Advanced proficiency in Python, PySpark, and SQL, with experience in NoSQL databases. Extensive experience with data warehousing, ETL pipelines, and big data ecosystems. Strong knowledge of ITIL service management practices and design processes. Demonstrated leadership and collaboration skills, with the ability to engage diverse stakeholders. A bachelor’s or master’s degree in Computer Science, Engineering, or a related field. Why Join Us: Be part of a forward-thinking organization that values innovation, collaboration, and excellence. Work on pioneering projects using state-of-the-art technologies in cloud data engineering. Enjoy competitive compensation, comprehensive benefits, and flexible work arrangements. Thrive in an environment that encourages personal growth and career advancement. As a Cloud Data Architect at GDTC, your expertise will shape the future of data solutions, empowering clients to unlock the full potential of their data. Together, let’s build a smarter, data-driven world.