Ness Digital Engineering

Technical Analyst

Ness Digital Engineering

full-time

Posted on:

Location Type: Hybrid

Location: 🇺🇸 United States

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Salary

💰 $80,000 - $110,000 per year

Job Level

Mid-LevelSenior

Tech Stack

Amazon RedshiftBigQueryCloudETLInformaticaKafkaMatillionNoSQLPulsar

About the role

  • Shape and deliver an enterprise-wide data architecture strategy that fuels growth and innovation
  • Define reference architectures, canonical data models, and integration patterns to create a consistent, reliable, and agile data foundation
  • Design, deliver, and optimise data pipelines, APIs, and real-time streaming frameworks that power business-critical insights
  • Lead the rollout of data governance, compliance, and privacy frameworks that inspire confidence and meet global standards
  • Collaborate with cross-functional teams to embed data-driven thinking into every decision
  • Mentor colleagues, champion best practices, and foster an inclusive, high-energy culture of data excellence.

Requirements

  • Proven experience in data analysis
  • Proven experience in financial industry
  • Expertise in cloud-native data platforms (e.g., Snowflake, Databricks, BigQuery, Amazon Redshift)
  • Advanced data modeling skills (conceptual, logical, physical) across relational, NoSQL, and event-driven systems
  • Hands-on proficiency with ETL/ELT tools (e.g., dbt, Fivetran, Matillion) and streaming technologies (e.g., Kafka, Kinesis, Pulsar)
  • Strong knowledge of data governance platforms (e.g., Collibra, Alation, Informatica) and industry best practices
  • Understanding of AI/ML data lifecycle management and operationalisation
  • Exceptional communication skills with the ability to inspire, influence, and align diverse stakeholders.
Benefits
  • Professional development
  • Exciting and challenging projects across a diverse range of industries
  • Collaboration with a group of forward-thinking, capable partners around the globe

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data architecturedata modelingdata analysisETLELTcloud-native data platformsreal-time streaming frameworksdata governanceAI/ML data lifecycle managementintegration patterns
Soft skills
communicationmentoringcollaborationleadershipinfluenceinclusivitydata-driven thinkingchampioning best practicesfostering cultureinspiring confidence