Cloud Data Architect

The ideal candidate is passionate about learning, data, scalability, and agility. You'll leverage your strong collaboration skills and data architecture expertise, along with a deep understanding of cloud technologies, to design and manage complex data systems. By ensuring these systems are scalable and efficient, you'll transform data into actionable intelligence. If you love creating robust data solutions and working with cutting-edge cloud technologies, this role is for you Primary SkillsWe are seeking a Cloud Data Architect (Azure/AWS) to join our team for an exciting data project.About Role:Experience – 10 to 15 yearsLocation- Bangalore/PuneNotice- Immediate to 15 days . Key skills: Data Architect, Azure Databricks, SQL, Pyspark/PythonJob Description: Technical Data Architect (Azure/Aws)10+ years of IT experience, including designing Azure data platforms and IBM DataStage with large-scale implementation experience.5+ years of experience in Azure cloud technology.Hands-on coding skills in Azure Stacks, SQL, PySpark/Python.Proven experience with Databricks projects.Expertise in developing enterprise solutions using frameworks, enterprise patterns, database design, data modeling, and development in Azure (Azure Data Factory for ingestion, Data Lake Gen 2 and Azure SQL Server for storage, Azure Analysis Services for transformations, Azure Databricks & HDInsight).Experience with Microsoft platforms and Web Services, designing and building frameworks, enterprise patterns, database design, and development.Strong experience in Spark, Python, and PySpark ETL.Understanding of Event Hub configuration.Ability to analyze the quality and granularity of real-time streaming data from IoT devices.Knowledge of HDInsight ETL and the ability to validate and suggest best practices.Comparison among various ETL tools like Databricks and ADF.Knowledge of Collibra as a data governance tool and the ability to validate the existing quality of the metadata catalog.Strong experience in data analysis, profiling, and data modeling, using modern technologies, methodologies, patterns, and industry standards.Experience in consulting and implementing data governance and data quality management.Strong analytical and quantitative problem-solving abilities.Exposure to frameworks, reusable components, accelerators, and CI/CD automation.Ability to profile data, assess data quality in the context of business rules, and incorporate validation and certification mechanisms to ensure data quality.Excellent presentation, written, and verbal communication skills.Collaboration with Scrum Master and PMO to organize deliverables into phases and sprints; drive estimation and sizing, and contribute actively to planning and scheduling the solution implementation.Strong interpersonal and communication skills with the ability to tell a clear, concise, actionable story with data to various levels of the company.Experience with machine learning on Azure ML.Provide support to the presales team in building RFPs.Why should you apply for this role?As Brillio continues to gain momentum as a trusted partner for our clients in their digital transformation journey, we strive to set new benchmarks for speed and value creation. The DAE team at Brillio is at the forefront of leading this charge by reimagining and executing how we structure, sell and deliver our services to better serve our clients.DAE: https://www.brillio.com/services/data-and-ai/Know what it’s like to work and grow at Brillio: https://www.brillio.com/join-us/Equal Employment Opportunity DeclarationBrillio is an equal opportunity employer to all, regardless of age, ancestry, colour, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding, and related medical conditions), and sexual orientation.Know what it’s like to work and grow at Brillio: https://www.brillio.com/