Principal Information Architect - Data Integration (Remote)

Principal Information Architect, Data Integration 

Job Summary

At CSX, a data integration architect operates within the sphere of data management and cloud computing, offering expertise in crafting data strategies that align with business goals.  The individual must have vast knowledge of Azure, AWS or Google cloud services. Ensure that data from disparate sources is coherently combined, leveraging various frameworks, methodologies and cloud design patterns. The resulting integration must be designed to strengthen business strategies by leveraging data and cloud architecture. As CSX becomes more data-driven, the data integration architect must collaborate closely with internal stakeholders, ensuring that data integration mirrors business requirements.  The data integration architect is responsible for shaping and then adhering to CSX’s data strategy and driving business intelligence efforts. This role is crucial since it bridges the gap between raw data and actionable insights, ensuring that businesses are truly utilizing those insights to drive data-driven business decisions.

Job Responsibilities 

• Technical Proficiency (Knowledge of ETL Tools, Databases, and Cloud Platforms): A data architect is highly skilled in using ETL tools, databases, and cloud platforms. They excel in optimizing data flow through ETL processes, ensuring seamless integration of data from various sources into a cohesive data data lake architecture. They have a strong foundation in SQL, relational databases like SQL Server, and data modeling techniques. As businesses increasingly migrate to the cloud, proficiency in platforms such as Azure and understanding cloud computing data processing becomes pivotal. Familiarity with programming languages, especially Python and Java, often comes into play, especially when creating custom data solutions.
• Analytical Thinking and Problem-solving: In the complex realm of big data, unforeseen challenges are the norm. From inconsistencies in data quality to roadblocks in data integration, architects need robust problem-solving skills. Their role often overlaps with data scientists and data analysts in this regard, using data analytics tools and methodologies to derive insights and address anomalies. Their analytical thinking enables effective data mining and the development of data-driven solutions aligned with business requirements.
• Strong Communication Skills: Beyond technical know-how, excellent communication skills are paramount. Data integration architects often collaborate with internal stakeholders, understanding and translating business requirements into technical specifications. Their soft skills enable them to bridge the gap between IT teams, data engineers, and business units, ensuring a harmonious and agile project lifecycle.
• Project Management and Coordination Abilities: Overseeing a data integration strategy isn’t a solitary task. Architects often wear the hat of a project manager, coordinating between teams, setting timelines, and ensuring deliverables align with the outlined business intelligence objectives. Their understanding of methodologies like Agile and DevOps ensures that projects remain adaptable and iterative, in sync with evolving business goals.
• Understanding of Data Privacy and Compliance Issues: In the era of GDPR and other data protection regulations, architects go beyond integration. They are responsible for data governance and security. Their expertise ensures adherence to certifications and compliance standards. Balancing accessibility with security, they employ data management systems that prioritize data privacy while catering to business's data visualization and decision-making needs.
• Enhancing Data Flow and Accessibility:  One of the primary responsibilities of a data integration architect is to ensure smooth data flow across various platforms and systems. Leveraging tools such as ETL (Extract, Transform, Load) and cloud platforms like Azure optimize data infrastructures. Their knowledge in SQL, data warehousing (data lake bronze, silver and gold layer), and data modeling ensures that data from disparate sources can be accessed easily and efficiently. By interfacing with APIs, and understanding relational databases such as SQL Server, they provide businesses with a seamless flow of data, catering to real-time business needs.
• Reducing Data Silos and Ensuring Data Consistency: Fragmented data, spread across isolated systems or "silos", can be a major roadblock for businesses. Data integration architects play a crucial role in overcoming these barriers. They ensure data consistency by aligning data across departments and systems with business goals. With expertise in metadata management and data governance, they p