Cloud Data Architect
Job Description
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&apos 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 bachelors or masters 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, lets build a smarter, data-driven world.