Solution Architect (Alteryx/Informatica BDM & GCP) Job Description Template

As a Solution Architect specializing in Alteryx, Informatica BDM, and GCP, you will be responsible for designing and implementing innovative data solutions. You will work closely with business stakeholders to understand their requirements, architect scalable data models, and ensure seamless integration across various platforms to support data-driven decision making.

Responsibilities

  • Design and implement scalable data architectures using Alteryx, Informatica BDM, and GCP.
  • Collaborate with business stakeholders to gather and analyze requirements.
  • Ensure data solutions align with the overall enterprise architecture.
  • Develop data integration workflows and ETL processes.
  • Create and maintain technical documentation for data solutions.
  • Conduct performance tuning and optimization of data solutions.
  • Provide technical guidance and mentorship to junior team members.
  • Stay up-to-date with the latest industry trends and technologies.

Qualifications

  • Bachelor's degree in Computer Science, Information Technology, or related field.
  • 5+ years of experience in data architecture and solution design.
  • Extensive experience with Alteryx, Informatica BDM, and GCP.
  • Proven track record of implementing scalable data solutions.
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration skills.
  • Experience with cloud-based data solutions and architectures.

Skills

  • Alteryx
  • Informatica BDM
  • Google Cloud Platform (GCP)
  • Data Architecture
  • ETL Processes
  • Data Integration
  • Performance Tuning
  • Technical Documentation
  • Problem Solving
  • Analytical Skills
  • Communication
  • Collaboration

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Frequently Asked Questions

A Solution Architect specializing in Alteryx, Informatica BDM, and Google Cloud Platform (GCP) designs and implements technical solutions that integrate data analytics and cloud capabilities. They analyze business requirements, create architecture solutions for data processing workflows using Alteryx and Informatica BDM, and leverage GCP for scalable and efficient data management. Their role is critical in ensuring the technical architecture aligns with strategic business objectives.

To become a Solution Architect skilled in Alteryx, Informatica BDM, and GCP, one should typically have a bachelor's degree in computer science or related fields, along with experience in data processing and cloud technologies. Certifying in Alteryx Designer Core, Informatica Cloud Data Integration, and Google Cloud Professional Cloud Architect can enhance credibility. Hands-on experience in designing data architecture solutions and problem-solving in cloud environments is crucial for this role.

The average salary for a Solution Architect with expertise in Alteryx, Informatica BDM, and GCP varies based on experience, geographic location, and company size. Generally, they command a competitive salary due to the specialized skill set that combines data analytics, cloud computing, and technical architecture design. Additional perks and bonuses may be offered depending on the project's complexity and impact. Those with advanced certifications and extensive experience often earn higher compensation.

Qualifications for a Solution Architect in Alteryx, Informatica BDM, and GCP typically include a strong foundation in computer science, data management, and software architecture. Candidates should have professional experience in Alteryx workflows, Informatica BDM configuration, and GCP deployments. Certifications in each of these technologies can greatly enhance a candidate's qualifications. Additionally, problem-solving skills, analytical thinking, and effective communication are essential for this role.

A Solution Architect in Alteryx, Informatica BDM, and GCP requires skills in data integration, cloud computing, and designing scalable architecture solutions. Core responsibilities include analyzing business needs, developing comprehensive solutions, and ensuring seamless integration of data processing systems. They must also manage stakeholder expectations, mentor team members, and keep abreast of technological advancements in data analytics and cloud services. Proficiency in programming, data visualization, and system architecture is vital.