Technical Analyst

Location:

, United States
Date Created:
Dec 17, 2025
Requisition

Ness is a full lifecycle digital engineering firm offering digital advisory through scaled engineering services. Combining our core competence in engineering with the latest in digital strategy and technology, we seamlessly manage Digital Transformation journeys from strategy through execution to help businesses thrive in the digital economy. As your tech partner, we help engineer your company’s future with cloud and data.

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We are problem-solvers, architects, strategists, implementors, and lifelong learners. We collaborate with each other and with our clients to help them meet their short- and long-term technology goals. Our culture is open, transparent, challenging, and fun.

We hire smart, self-starters who thrive in an open-ended environment to figure out what needs to be done and take ownership in delivering quality results

• We are looking for an inspiring and forward-thinking Data Architect to craft, evolve, and champion our enterprise data platform. You will play a pivotal role in empowering smarter decisions, accelerating innovation, and enabling AI-driven opportunities across the organisation.
• In this high-impact role, you will set the vision and lead the delivery of a modern, scalable, and trusted data architecture that not only meets today’s business needs but positions us for tomorrow’s breakthroughs. Your expertise will help teams unlock the full value of data—turning it into a competitive advantage.

• 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.

• 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
  .

• 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.

• 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
  .

• Proven experience in financial industry.
• Expertise in
  cloud-native data platforms
  (e.g., Snowflake, Databricks, Big Query, Amazon Redshift).
• Advanced
  data modeling
  skills (conceptual, logical, physical) across relational, No
  
  SQL, 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.

• A
  scalable, resilient, and future‑ready
  data architecture that drives measurable business outcomes.
• Teams across the organisation
  access trusted, high‑quality data
  that fuels innovation and decision‑making.
• Data governance and security practices are
  deeply embedded
  into every process.
• The organisation is
  ready to embrace AI and advanced analytics
  without rework or disruption.

• 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…