Data Architect

Direct message the job poster from Integris Group

The company is in the midst of an AI transformation
, creating exciting opportunities for growth. At the same time, they are leading a Salesforce modernization and integrating the systems and data of their recent acquisition
.

The Senior Data Architect/Engineer leads the design, development, and evolution of enterprise data architecture
, while contributing directly to the delivery of robust, scalable solutions. This position blends strategy and hands‑on engineering, requiring deep expertise in modern data platforms, pipeline development, and cloud‑native architecture.

• Define architectural standards and best practices.
• Evaluate and implement new tools.
• Partner with data product teams, engineers, and business stakeholders to build platforms supporting analytics, reporting, and AI/ML workloads.

• Lead the design and documentation of scalable data frameworks: data lakes, warehouses, streaming architectures, and Azure-native data platforms.
• Build and optimize secure, high‑performing ETL/ELT pipelines, data APIs, and data models.
• Develop solutions that support analytics, advanced reporting, and AI/ML use cases.
• Recommend and standardize modern data tools, frameworks, and architectural practices.
• Mentor and guide team members, collaborating across business, IT, and architecture groups.
• Partner with governance teams to ensure data quality, lineage, security, and stewardship.

• 10+ years of progressive experience in Data Engineering and Architecture.
• Strong leadership experience, including mentoring small distributed teams (currently 4 people: 2 onshore, 2 offshore; team growing to
  6).
• Deep knowledge of Azure ecosystem (Data Lake, Synapse, SQL DB, Data Factory, Databricks).
• Proven expertise with ETL pipelines (including 3rd‑party/vendor integrations).
• Strong SQL and data modeling skills; familiarity with star/snowflake schemas and other approaches.
• Hands‑on experience creating Data APIs
  .
• Solid understanding of metadata management, governance, security, and data lineage.
• Programming experience with SQL, Python, Spark
  .
• Familiarity with containerized compute/orchestration frameworks (Docker, Kubernetes) is a plus.
• Experience with Salesforce data models, MDM tools, and streaming platforms (Kafka, Event Hub) is preferred.
• Excellent problem‑solving, communication, and leadership skills.

• Bachelor’s degree in Computer Science, Information Systems, or related field (Master’s preferred).
• Azure certifications in Data Engineering or Solution Architecture strongly preferred.
• Data Architecture Leadership – Define enterprise‑wide strategies and frameworks (35%)
• Engineering & Delivery – Build and optimize ETL/ELT pipelines, APIs, and models (30%)
• Tooling & Standards – Evaluate new tools and support adoption of modern practices (15%)
• Mentorship & Collaboration – Mentor engineers and align stakeholders (10%)
• Governance & Quality – Embed stewardship, lineage, and security into architecture (10%)

Mid‑Senior level

Full‑time

Information Technology

Hospitality