Informatica Architect

MatchPoint Solutions is a fastgrowing young energetic global ITEngineering services company with clients across the US. We provide technology solutions to various clients like Uber Robinhood Netflix Airbnb Google Sephora and more! More recently we have expanded to working internationally in Canada China Ireland UK Brazil and India. Through our culture of innovation we inspire build and deliver business results from idea to outcome. We keep our clients on the cutting edge of the latest technologies and provide solutions by using industryspecific best practices and expertise.

We are excited to be continuously expanding our team. If you are interested in this position please send over your updated resume. We look forward to hearing from you!

Job Title: Informatica Architect

Location: San Ramon CA Remote

Duration: 6 months

Pay Rate: $80/hr W2

Job Responsibilities:

We are seeking a highly skilled and experienced Informatica Architect to join our dynamic team. The ideal candidate will have a strong background in Informatica Informatica Data Management Cloud (IDMC) and Collibra to design develop and implement robust data integration governance and management solutions. This role requires an individual who can take ownership of the data architecture strategy ensure seamless integration and maintain data quality across platforms.

Responsibilities:

Data Architecture and Design: Design and implement scalable and efficient data integration solutions using Informatica PowerCenter IDMC (Informatica Data Management Cloud) and other Informatica tools.

IDMC Management: Implement and manage data management workflows within the Informatica Data Management Cloud (IDMC) platform. Work on cloud data migration and ensure smooth deployment across cloud environments.

Collibra Integration: Develop and implement data governance processes using Collibra for data quality lineage and metadata management. Establish governance workflows and ensure compliance with data policies.

ETL Development Data Governance and Cloud Data Architecture.

Collaboration & Leadership: Collaborate with data engineers business analysts and other stakeholders to understand data requirements and implement solutions that meet business needs. Provide leadership and mentoring to junior team members.

Performance Tuning & Optimization: Monitor and optimize performance of ETL processes ensuring minimal downtime and high data throughput.

Documentation & Best Practices: Create and maintain technical documentation including architecture diagrams data models and workflow designs. Establish and follow best practices for ETL processes and data management.

Required Skills & Qualifications:

Informatica PowerCenter: Proven expertise in designing and implementing ETL solutions using Informatica PowerCenter.

Informatica Cloud (IDMC): Handson experience with Informatica Data Management Cloud (IDMC) specifically for cloud data integration management and migration.

Collibra: Strong experience with Collibra for data governance metadata management and data lineage.

Data Architecture: Deep understanding of data architecture principles including data modeling data warehousing and ETL processes.

Cloud Platforms: Proficiency in cloud technologies (AWS Azure GCP) and integration of Informatica products with cloudbased solutions.

Data Governance & Compliance: Knowledge of data governance frameworks and best practices in ensuring data quality privacy and security.

Programming & Scripting: Strong skills in SQL scripting (Python Shell) and familiarity with database technologies (SQL Server Oracle etc.).

Leadership & Communication: Ability to lead projects work crossfunctionally with business and technical teams and communicate effectively with stakeholders.

ProblemSolving: Strong troubleshooting skills and the ability to optimize data pipelines and ETL processes.

Preferred Qualifications:

Certifications in Informatica and/or Collibra.

Experience in agile project management methodologies.

Familiarity with additional data management or cloud tools is a plus (e.g. Apache Kafka Hadoop Spark).