Senior Presales Consultant

Job Title:

Experience: 10

Location:

About the Role

We are seeking a highly skilled Pre-Sales Consultant with deep expertise in Data Warehouse and Lakehouse technologies, includingTeradata, Databricks, and other modern data platforms. In this role, you will collaborate with sales, product, and technical teams to drive customer success by demonstrating the value of our solutions, leading technical discussions, and shaping data strategies for prospective clients.

Key Responsibilities

• Engage with enterprise clients to understand their data architecture, analytics needs, and business challenges.
• Provide technical pre-sales support, including proof of concepts (PoCs), solution demonstrations, and architecture deep-dives.
• Design and recommend data warehouse and lakehouse solutions based on customer requirements, leveraging Teradata, Databricks, or other cloud-based platforms.
• Work closely with sales teams to develop proposals, respond to RFPs, and present solutions that align with customer goals.
• Serve as a trusted advisor to customers, helping them optimize their data strategy, performance, and cost-efficiency.
• Collaborate with engineering and product teams to relay customer feedback and influence product roadmaps.
• Deliver technical workshops, webinars, and training sessions to educate clients and internal teams on best practices.
• Stay up to date with industry trends and emerging technologies in data warehousing, lakehouses, cloud analytics, and AI-driven data platforms.

Required Skills & Experience

• 5+ years of experience in pre-sales, solutions architecture, or consulting with a focus on data warehouse/lakehouse technologies.
• Strong hands-on expertise with Teradata, Databricks, or similar platforms (e.g., Snowflake, Google BigQuery, AWS Redshift).
• Deep understanding of modern data architectures, ETL/ELT pipelines, cloud data platforms (AWS, Azure, GCP), and SQL-based analytics.
• Experience with big data processing frameworks (Spark, Hadoop, Delta Lake) and real-time data streaming technologies (Kafka, Kinesis, Pub/Sub).
• Strong problem-solving skills with the ability to design scalable, high-performance data solutions.
• Excellent communication and presentation skills, with the ability to translate technical concepts into business value.
• Ability to work cross-functionally with sales, engineering, and customer success teams.
• Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience).

Preferred Qualifications

• Certifications in Teradata, Databricks, or cloud platforms (AWS/Azure/GCP).
• Experience in AI/ML-powered analytics and data science workflows.
• Familiarity with data governance, security, and compliance best practices in enterprise environments.