Job
Description
RSM is looking for an experienced Hands-On Technical Manager with expertise in big data technologies and multi-cloud platforms to lead our technical team for the financial services industry. The ideal candidate will possess a strong background in big data architecture, cloud computing, and a deep understanding of the financial services industry. As a Technical Manager, you will be responsible for leading technical projects, hands-on development, delivery management, sales and ensuring the successful implementation of data solutions across multiple cloud platforms. This role requires a unique blend of technical proficiency, sales acumen, and presales experience to drive business growth and deliver innovative data solutions to our clients. Responsibilities: Provide technical expertise and guidance on the selection, and hands-on implementation, and optimization of big data platforms, tools, and technologies across multiple cloud environments (e.g., AWS, Azure, GCP, Snowflake, etc.) Architect and build scalable and secure data pipelines, data lakes, and data warehouses to support the storage, processing, and analysis of large volumes of structured and unstructured data. Lead and mentor a team of technical professionals in the design, development, and implementation of big data solutions and data analytics projects within the financial services domain. Stay abreast of emerging trends, technologies, and industry developments in big data, cloud computing, and financial services, and assess their potential impact on the organization. Develop and maintain best practices, standards, and guidelines for data management, data governance, and data security in alignment with regulatory requirements and industry standards. Collaborate with the sales and business development teams to identify customer needs, develop solution proposals, and present technical demonstrations and presentations to prospective clients. Collaborate with cross-functional teams including data scientists, engineers, business analysts, and stakeholders to define project requirements, objectives, and timelines. Basic Qualifications: Bachelor's degree or higher in Computer Science, Information Technology, Business Administration, Engineering or related field. Minimum of ten years of overall technical experience in solution architecture, design, hands-on development with a focus on big data technologies, multi-cloud platforms, and with at-least 5 years of experience specifically in financial services. Strong understanding of the financial services industry capital markets, retail and business banking, asset management, insurance, etc. In-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc. Experience with SQL, Python, Pyspark or other programming languages used for data transformation, analysis, and automation. Excellent communication, presentation, and interpersonal skills, with the ability to articulate technical concepts to both technical and non-technical audiences. Hands-on experience extracting (ETL using CDC, Transaction Logs, Incremental) and processing large data sets for Streaming and Batch data loads. Ability to work from our Hyderabad, India office at least twice a week Preferred Qualifications: Professional certifications in cloud computing (e.g., AWS Certified Solutions Architect, Microsoft Certified Azure Solutions Architect, Azure Data Engineer, SnowPro Core) and/or big data technologies. Experience with Power BI, Tableau or other Reporting and Data Visualization tools Familiarity with DevOps practices, CI/CD pipelines, and infrastructure-as-code tools Education/Experience: Bachelor's degree in MIS, CS, Engineering or equivalent field. Master's degree is CS or MBA is preferred. Advanced Data and Cloud Certifications are a plus.
