Azure Data Architect (10-15 Years) Only Pune

Job description

Dear Professionals Greetings from Tata consultancy Services, Job Title Azure Data Architect Experiernce: 10-15 Years Location: Only Pune Mode of Work : Work from Office Mode of Interview: Virtual **Job Description** **Azure Databricks Architect JD** - We are seeking a highly experienced Databricks Architect to lead the design, implementation, and optimization of enterprise-scale data solutions. - This role requires expertise in cloud-based data engineering, advanced analytics, and scalable architecture design. The successful candidate will play a pivotal role in enabling data-driven decision-making across the organization. **Key Responsibilities :** - Architect and implement scalable data solutions leveraging Databricks, Apache Spark, and Delta Lake. - Collaborate with cross-functional teams to define data strategies, pipelines, and integration frameworks. - Optimize ETL workflows, data lakes, and machine learning environments for performance and reliability. - Establish and enforce best practices for data governance, security, and compliance. - Lead migration initiatives from legacy data systems to Databricks and cloud-native platforms. - Provide technical leadership, mentoring, and architectural guidance to engineering teams. - Stay current with emerging technologies in big data, AI/ML, and cloud ecosystems. **Qualifications :** - Bachelors or Masters degree in Computer Science, Data Engineering, or related field. - Proven experience with Databricks, Apache Spark, and cloud platforms (Azure, AWS, or GCP). - Strong knowledge of data warehousing, ETL, and real-time streaming solutions. - Hands-on experience with Delta Lake, MLflow, and advanced analytics frameworks. - Excellent problem-solving, communication, and leadership skills. Preferred Skills - Experience with CI/CD pipelines and DevOps practices for data engineering. - Knowledge of containerization (Docker, Kubernetes) and microservices architecture. - Familiarity with BI tools (Power BI, Tableau) for data visualization. If you are Interested in the above opportunity kindly share your updated resume to pullagura.gokulsaiakhil@tcs.com immediately with the details below (Mandatory) Name: Contact No. Email id: Skillset: Total exp: Relevant Exp: Fulltime highest qualification (Year of completion with percentage scored): Current organization details (Payroll company): Current CTC: Expected CTC: Notice period: Current location: Preffered Location Any gaps between your education or career (If yes pls specify the duration): Will you be able to join within 30/45 days? (Yes/NO)