Hybrid Technical Analyst

at Ness Digital Engineering

• Job title: Technical Analyst
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: $130,000 - $150,000 per year
• Degree requirement: No Education Requirement
• Tech skills: Amazon Redshift, BigQuery, Cloud, ETL, Informatica, Kafka, Matillion, NoSQL, Pulsar
• Location requirements: Hybrid, United States

About the role

• Technical Analyst at Ness Digital Engineering shaping enterprise data platform. Empowering smarter decisions through data architecture, governance, and innovation.

Responsibilities

• Lead the Data Vision: 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.
• Curate and integrate cutting-edge modern data stack technologies to speed delivery and maximise value.
• Create Transformational Solutions: Design, deliver, and optimise data pipelines, APIs, and real-time streaming frameworks that power business-critical insights.
• Embed data quality, lineage, and metadata management into every solution for trusted and transparent data.
• Prepare and enrich enterprise data to unlock the potential of AI, ML, and predictive analytics.
• Champion Governance & Trust: Lead the rollout of data governance, compliance, and privacy frameworks that inspire confidence and meet global standards.
• Partner with security and compliance teams to build safe, accessible, and well-managed data environments that enable innovation.
• Collaborate, Inspire, and Mentor: Act as a strategic advisor to executives, connecting technical architecture with measurable business outcomes.
• Work hand-in-hand 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

• Impact that Matters: Your work will directly shape how we innovate, compete, and deliver value.
• Innovation Every Day: Collaborate with a team that embraces experimentation, new technologies, and continuous improvement.
• Inclusive Collaboration: Join a diverse, talented community that celebrates different perspectives and shared success.
• Growth & Opportunity: Access to professional development, cutting-edge projects, and the freedom to bring bold ideas to life.