Customer Engineer - Pythian

Why Pythian:

Experts in strategic database and analytics services.
Founded in 1997, multinational company.
Known for reliability and performance of mission-critical databases.
Expertise expanded from on-premises to cloud environments and advanced analytics.
Partners with Google Cloud, AWS, Microsoft, Oracle, SAP, Snowflake.
Helps mid and large-sized businesses transform digitally using advanced technologies including AI.

Why you:

Premier provider of data & analytics services accelerating business outcomes via data access, automated decision making, AI.
Customer Engineer (CE) leads customer engagement to build relationships, understand goals, and bring SMEs to solve complex needs.

Key Areas of Responsibility:

Technical Sales Engagement and opportunity development
Customer Relationship Development & technical relationships
Partner Alignment & Technical Relationship Development

Offering and Portfolio Expansion within Account Base

Customer Success (holistically)

Key Measures of Success:

New opportunities discovered (clients, prospects, partners)
Bookings & account level growth

What you will be doing:

Technical Sales Engagement

Engage with targeted customers as assigned by sales leadership.
Understand customer business; establish technical/business credibility.
Participate with Solution Architect/SMEs to define holistic solutions considering costs, contracts, business conditions, technical environment.
Lead technical customer needs identification/scoping calls with relevant SMEs.
Collaborate on customer-specific services/technology solutions; coordinate teams including partner technology.
Deliver/sell technical solution strategy to senior client executives aligning with company differentiators.
Influence QBR agendas to align/accelerate account development strategies.

Customer Relationship Development

Cultivate trusted-advisor relationships with senior IT executives understanding business challenges and technology-enabled solutions.
Provide leadership on best practices for cloud-based data/application solutions including migration and modernization.
Advise customers on technology standards/methodologies/processes related to infrastructure, data, applications estate.
Own technical/services/architecture agenda for named customers; drive account innovation in QBRs.

Partner Alignment & Technical Relationship Management

Build/maintain relationships with partner pre-sales, solutions, customer engineers.
Maintain/add partner technical certifications; support corporate specializations/program inclusions.
Conduct joint technical strategy sessions with partner engineers and engagement managers.

Offering and Portfolio Expansion within Account Base

Provide feedback from customer/prospect/partner interactions on offerings/delivery/competitive knowledge.
Recommend new offerings or enhancements to corporate competency.
Participate in introducing new offerings; build technical roadmap for portfolio expansion within customers.

Customer Success and Technical Escalation

Build strong relationship with architects, engineers, project managers; work deeply on client challenges.
Act as point of technical consultation for clients and partners.
Ensure high customer satisfaction; maintain referenceable customers.

What we need from you:

Proven experience as Data Architect or Cloud Solutions Architect.
Excellent knowledge of Data management & Data lifecycle business.
Strong understanding/experience with Cloud architectures: Google Cloud Platform (GCP), Microsoft Azure or AWS focusing on data services.
In-depth knowledge of database/data warehouse technologies: Microsoft, Amazon, Google (Big Data & RDBMS), Azure SQL Data Warehouse, Teradata, Redshift, BigQuery, Snowflake etc.
Good understanding of conventional databases: Oracle, SQL Server, MySQL, Postgres etc.
Experience moving data to cloud; designing cloud-based data warehouses/architectures.
Experience writing/spec’ing data pipelines; knowledge of cloud ingestion/transformation tools.
Prior experience in a technical sales environment.
Consulting & management experience is a plus.
Relevant certifications preferred: Google Cloud Professional Cloud Architect/Data Engineer; AWS Certified Solutions Architect/Big Data; Microsoft Azure Architect.

What you will receive:

Competitive total rewards package including volunteering day during work hours.
Flexible remote work from home (location mentioned: Remote - Texas, US).
Collaboration with industry experts.
Substantial training allowance for professional development/certifications/training days.
Equipment provided for home workspace including laptop choice and annual personalization budget.
Annual wellness budget for gym memberships/massages/fitness etc., paid vacation/sick days plus a volunteer day off.

Hiring Disclaimer:

Successful applicant must fulfill background check requirements.
Accommodations available upon request during selection process.

AI Disclaimer:

Pythian uses Enterprise Generative AI tools in hiring process for application review but final decisions are human-made. Candidates can request human review or accommodations related to AI-driven decisions. Location: Remote (Texas, US) Employment Type: Not explicitly stated but implied full-time remote role Experience Level: Experienced professionals with proven architecture background Remote Work: Yes - flexible remote work from home