Data Architect

IBS Software is a fast-growing global software company with 4,000 employees and a 27-year track record of innovation for the world’s leading travel brands. We provide a broad range of industry-leading products and services that manage mission‑critical operations of airlines, airports, cruise lines, hospitality partners, tour operators and oil & gas companies. These products improve safety, revenue and workflow efficiency, while managing growth, and reducing operating costs.

Certified as a Great Place to Work®, IBS Software has a culture built on the values of precision, commitment, passion, integrity and respect for the individual.

On-site Role in Phoenix, AZ – US Citizenship or Green Card Required

We are currently seeking an experienced, dynamic, organized, self‑starter to join as a Data Architect for our Consulting and Digital Transformation (CDx) line of business. As a Data Architect specializing in M&A integration, you will play a pivotal role in leading the data acquisition and integration efforts from newly acquired companies into our enterprise data platform. You will be responsible for designing and implementing a consolidated data model that aligns with the strategic objectives of our enterprise business group, enabling seamless data flow and maximizing the value of integrated data assets.

Lead Data Acquisition Strategy:
Develop and execute a comprehensive data acquisition strategy for newly acquired companies, including:

• Data Discovery & Profiling:
  Conduct thorough data discovery to identify, assess, and understand the source systems, data quality, and data structures of the acquired company.
• Platform Mapping:
  Map the acquired company’s existing data platforms and technologies to the enterprise data platform, identifying areas for consolidation and integration.
• Data Flow Design:
  Design robust data flow architectures, encompassing both batch and real‑time data movement, to ensure efficient and reliable data ingestion into the enterprise data platform.
• Data Mapping:
  Define and execute data mapping rules and transformations to harmonize data from the acquired company with the enterprise data model.
• Integration Approach:
  Architect and implement appropriate data integration approaches, considering various technologies and methodologies (e.g., ETL, streaming, APIs).
• Current State Analysis:
  Analyze the existing enterprise data model and the acquired company’s data model to identify overlaps, gaps, and potential areas for consolidation.
• Target Data Model Design:
  Design and develop a consolidated, future‑state enterprise data model that accommodates the integrated data assets and supports the business intelligence and analytics needs of the combined entity.
• Data Governance & Quality:
  Establish and enforce data governance policies and data quality standards for the integrated data, ensuring data accuracy, consistency, and compliance.
• Collaborate effectively with business stakeholders, data engineers, data scientists, and IT teams to understand data requirements and deliver integrated data solutions.
• Provide technical leadership and guidance to the data acquisition and integration teams, ensuring adherence to architectural principles and best practices.
• Communicate complex data concepts and solutions clearly and concisely to technical and non‑technical stakeholders.

• Evaluate and recommend new data technologies and tools to enhance the data acquisition and integration capabilities, leveraging cloud‑native services where appropriate.
• Stay abreast of industry trends and best practices in data architecture, data acquisition, and M&A integration.

• 10+ years of experience in data architecture, with a significant focus on data acquisition and integration in enterprise environments.
• Proven experience leading data integration efforts for mergers and acquisitions.
• Expertise in designing and implementing enterprise‑level data architectures, including data warehouses, data lakes, and data marts.
• Strong proficiency in data modeling techniques (e.g., relational, dimensional, logical, physical).
• Deep understanding of data acquisition and integration…