Solutions Engineer (Data Platform)

TL;DR

Solutions Engineer (Data Platform): Driving technical pre-sales motion to help customers transform complex data into actionable insights with an accent on solution design, technical discovery, and proof-of-concepts. Focus on architecting CDP platform deployments, integrating open-source data ecosystems, and translating customer pain points into business outcomes.

Location: Remote (USA). This role is not eligible for immigration sponsorship.

Salary: $150,000 - $180,000

Company

hirify.global empowers enterprises to transform complex data into actionable insights using an open-source powered data platform for hybrid cloud environments.

What you will do

• Drive the technical pre-sales motion in partnership with Account Executives to win enterprise deals.
• Lead technical discovery workshops and run deep discovery to unpack customer business drivers and pain points.
• Design tailored solution architectures and deliver impactful demos and proof-of-concepts (PoCs).
• Collaborate with cross-functional teams including Product Management and Engineering to translate customer feedback into product roadmap items.
• Champion the adoption of open-source data ecosystems including Spark, Iceberg, NiFi, Kafka, and Flink.
• Serve as a trusted technical advisor to stakeholders ranging from developers and architects to CTOs and CIOs.

Requirements

• 5+ years of professional experience in pre-sales, solutions architecture, or technical consulting.
• Proven experience conducting technical discovery, whiteboarding solutions, and building technical PoCs.
• Experience with public cloud infrastructures such as AWS, Azure, GCP, or IBM Cloud.
• Strong knowledge of the Apache Hadoop ecosystem (HDFS, YARN, Spark, Hive, Impala, Kudu, Solr).
• Proficiency in Data Lakes, Data Warehousing principles, SQL, and relational database patterns.
• Must be based in the US; role is not eligible for immigration sponsorship.

Nice to have

• Experience with Linux OS, Kubernetes, or OpenShift.
• Knowledge of Enterprise Data Warehouse (EDW) solutions like Teradata, Netezza, or GreenPlum.
• Experience with NoSQL databases such as HBase, Cassandra, or MongoDB.
• Familiarity with Data Science and ML frameworks (Python, Jupyter, Deep Learning).
• Experience with integration products like Talend, Informatica, or MuleSoft.

Culture & Benefits

• Generous PTO policy and "Unplugged Days" to support work-life balance.
• Flexible WFH policy with phone and internet reimbursement.
• Comprehensive benefits package including mental and physical wellness programs.
• Access to continued career development and paid volunteer time.
• Active Employee Resource Groups and a collaborative team environment.