Job Title

Location: Pan India Roles and Responsibilities: Customer needs analysis: Deeply understanding a potential client's business challenges, pain points, and desired outcomes to identify the most suitable solution. Solution design and architecture: Developing a customized solution that addresses customer needs, including system architecture, integration points, and potential implementation strategies. RFP response and proposal creation: Leading the technical response to Requests for Proposals (RFPs), drafting detailed proposals outlining the proposed solution and its value proposition. Technical presentations and demonstrations: Delivering compelling presentations and product demos to showcase the solution's capabilities and address customer concerns. Proof-of-concept development: Creating prototypes or proof-of-concept demonstrations to validate the solution's feasibility and address technical uncertainties. Pricing and costing analysis: Collaborating with sales teams to develop accurate pricing models and assess the financial viability of proposed solutions. Technical expertise: Maintaining in-depth knowledge of the company's products, services, and technology landscape to effectively answer customer questions and address technical objections. Key Skills & Qualifications: 10 – 15yrs of total experience. Very Good communication skills and should have played Customer facing roles. Proven experience as architect and engineering lead in Data & Analytics stream In-depth understanding of data structure principles, data platforms, new-gen Data Architecture with latest offerings from various cloud providers like AWS, GCP and Azure . Working experience on Modern Data Platforms which involves Cloud & related technologies, serverless offerings/services, Graph databases, Virtualization etc. Problem-solving attitude, solution mindset with implementation expertise Well-versed with the E2E Data Management philosophies and Data Governance processes. Mandatory : 10+ years of experience in the Data Engineering space with at least few complex & high volume data projects as an architect. Has pre-sales experience and led and contributed towards the data solutions within RFP/RFI/RFQ. Creative problem-solver with strong communication skills Excellent understanding of traditional, distributed and next-gen (modern) computing paradigm. Should have excellent knowledge in data warehouse / data lake technology and business intelligence concepts. Should have good knowledge in Relational, No-SQL, Big Data Databases and should be able to write complex SQL queries. Should have strong implementation experience in all the below technology areas (breadth) and deep technical expertise in some of the below technologies: Data integration – ETL tools like Talend and Informatica. Ingestion mechanism like Flume & Kafka Data modelling – Dimensional & transactional modelling using RDBMS, NO-SQL and Big Data technologies. Experience in Snowflake modelling would be an advantage Data visualization – Tools like Tableau Master data management (MDM) – Concepts and expertise in tools like Informatica & Talend MDM Big data – Hadoop eco-system, Distributions like Cloudera / Hortonworks, Pig and HIVE Data processing frameworks – Spark & Spark streaming Hands-on experience with multiple databases like PostgreSQL, Snowflake, Oracle, MS SQL Server, NOSQL (HBase / Cassandra, MongoDB), is required Knowledge of various data modelling techniques and should be hands on with data modelling tools like ERWin, TOAD, PowerDesigner, etc. Experience in cloud data eco-system - AWS, Azure or GCP Demonstrate strong analytical and problem-solving capability. Good understanding of the data eco-system, both current and future data trends Hands on experience in tools and technologies Experience in Solutioning and Effort estimation Open to short period travel (a week to 15 days ) for war room and defense presentations.