3 Databricks Architecture Jobs

You are ArCent, a 17+ year young recruitment firm with a global reach, dedicated to providing top-level, dependable talent to your clients, which primarily include leading MNCs and CMM-level companies. Currently, you are looking to hire a Databricks Architect for one of your Indian clients, a 30-year-old digital engineering company with a global presence and a workforce of over 3,500 professionals. This organization specializes in IT services, software products, platforms, and infrastructure, with expertise in Big Data, AI/ML, and cloud solutions for large enterprises. Headquartered in the U.S., the company has major development centers across Noida, Gurugram, Pune, Indore, Bengaluru & Hyderabad in India, and is known for its proprietary platform enabling automated cloud and workload transformation. As a Databricks Architect, you will be responsible for analyzing business requirements and translating them into technical specifications for data pipelines, data lakes, and analytical processes on the Databricks platform. Your role will involve designing and architecting end-to-end data solutions to meet business needs and performance requirements, leading the setup, configuration, and optimization of Databricks clusters, workspaces, and jobs, and managing access controls and security configurations to ensure data privacy and compliance. You should have a Bachelor's or Master's degree in Computer Science, Information Technology, or a related field, with 10-20 years of experience in Data Engineering, including a minimum of 4+ years of hands-on experience in Databricks. Proficiency in programming languages like Python, Scala, or SQL is required, along with experience with Cloud platforms like AWS, Azure, or Google Cloud, and familiarity with big data technologies like Apache Spark, Hadoop, and data lake architectures. Experience with ETL processes, batch & streaming data processing, and performance tuning is essential. Additionally, you should have strong communication skills, problem-solving abilities, and the capacity to mentor and train team members on Databricks best practices, features, and capabilities. Exposure to Agile methodology and a Databricks Certified Data Engineer Associate/Professional Certification would be desirable. If you are open to working for an Indian IT organization, have experience in Databricks Architecture, are willing to work in an Individual Contributor role, and meet the specified experience and skill requirements, kindly apply for this position. The role offers an opportunity to work from Noida, Pune, Hyderabad, Gurugram, Bangalore, or Indore, with a compensation package not exceeding INR 55 LPA including variable components.,

About the Company Greetings from Teamware Solutions a division of Quantum Leap Consulting Pvt. Ltd About the Role We are hiring a Databricks architect Location: Bangalore Work Model: Hybrid Years of Experience: 7-10 years Notice Period: Immediate to 15 Days Open positions: 10 Connect for Faster Comm Netra Sakunthala Job Description: Databricks architect Additional Information: Mandatory Skills Databricks architecture, framework built Nice to have skills Python, Pyspark Interview Mode Virtual Interview Please let me know if you are interested in this position and send me your resumes to netra.s@twsol.com

Role Description: We are seeking a seasoned Solution Architect to drive the architecture, development and implementation of data solutions to Amgen functional groups. The ideal candidate able to work in large scale Data Analytic initiatives, engage and work along with Business, Program Management, Data Engineering and Analytic Engineering teams. Be champions of enterprise data analytic strategy, data architecture blueprints and architectural guidelines. As a Solution Architect, you will play a crucial role in designing, building, and optimizing data solutions to Amgen functional groups such as R&D, Operations and GCO. Roles & Responsibilities: Implement and manage large scale data analytic solutions to Amgen functional groups that align with the Amgen Data strategy Collaborate with Business, Program Management, Data Engineering and Analytic Engineering teams to deliver data solutions Responsible for design, develop, optimize, delivery and support of Data solutions on AWS and Databricks architecture Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions. Provide expert guidance and mentorship to the team members, fostering a culture of innovation and best practices. Be passionate and hands-on to quickly experiment with new data related technologies Define guidelines, standards, strategies, security policies and change management policies to support the Enterprise Data platform. Collaborate and align with EARB, Cloud Infrastructure, Security and other technology leaders on Enterprise Data Architecture changes Work with different project and application groups to drive growth of the Enterprise Data Platform using effective written/verbal communication skills, and lead demos at different roadmap sessions Overall management of the Enterprise Data Platform on AWS environment to ensure that the service delivery is cost effective and business SLAs around uptime, performance and capacity are met Ensure scalability, reliability, and performance of data platforms by implementing best practices for architecture, cloud resource optimization, and system tuning. Collaboration with RunOps engineers to continuously increase our ability to push changes into production with as little manual overhead and as much speed as possible. Maintain knowledge of market trends and developments in data integration, data management and analytics software/tools Work as part of team in a SAFe Agile/Scrum model Basic Qualifications and Experience: Masters degree with 6 - 8 years of experience in Computer Science, IT or related field OR Bachelors degree with 9 - 12 years of experience in Computer Science, IT or related field OR Functional Skills: Must-Have Skills: 7+ years of hands-on experience in Data integrations, Data Management and BI technology stack. Strong experience with one or more Data Management tools such as AWS data lake, Snowflake or Azure Data Fabric Expert-level proficiency with Databricks and experience in optimizing data pipelines and workflows in Databricks environments. Strong experience with Python, PySpark, and SQL for building scalable data workflows and pipelines. Experience with Apache Spark, Delta Lake, and other relevant technologies for large-scale data processing. Familiarity with BI tools including Tableau and PowerBI Demonstrated ability to enhance cost-efficiency, scalability, and performance for data solutions Strong analytical and problem-solving skills to address complex data solutions Good-to-Have Skills: Preferred to have experience in life science or tech or consultative solution architecture roles Experience working with agile development methodologies such as Scaled Agile. Professional Certifications AWS Certified Data Engineer preferred Databricks Certificate preferred Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills.