Data Architect

Siri InfoSolutions Inc

Dearborn (MI)

On-site

USD 120,000 - 170,000

Full time

9 days ago
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Job summary

Siri InfoSolutions Inc is seeking a highly skilled Data Architect for an onsite role in Dearborn, MI. You will design and implement data architecture, lead data models and dictionaries, and collaborate with cross-functional teams to translate requirements into technical specifications.

You will ensure data quality through governance practices, manage master data with Informatica MDM, and mentor junior team members while staying current with industry trends.

Qualifications

  • Bachelor's degree in CS/IT or related field; Master’s preferred.
  • 10–15 years of experience in data architecture or related roles.
  • Strong Informatica MDM expertise is a must.
  • Proven data modeling, warehousing, and ETL experience.
  • Deep knowledge of SQL and NoSQL databases.
  • Experience with data governance frameworks and practices.

Responsibilities

  • Design and implement data architecture solutions aligned to business goals.
  • Lead the development and maintenance of data models, data flows, and dictionaries.
  • Collaborate with cross-functional teams to translate requirements into specs.
  • Ensure data quality and integrity through governance practices.
  • Utilize Informatica MDM to manage master data across systems.
  • Develop and enforce data management policies and standards.
  • Provide technical guidance and mentorship to junior team members.
  • Stay updated with industry trends and best practices in data architecture and MDM.

Skills

Informatica MDM
Data modeling
Data warehousing
ETL processes
Database technologies (SQL NoSQL)
Data governance
Analytical thinking
Communication skills

Education

Bachelor's degree in CS/IT
Master's degree preferred

Tools

AWS
Azure
Google Cloud
Hadoop
Spark
Tableau
Power BI
CDMP
TOGAF

Job description

Position: Data Architect
Location: Dearborn MI (Onsite)
Duration: Fulltime
Job Summary:

We are seeking a highly skilled Data Architect with extensive experience in designing and implementing data solutions. The ideal candidate will possess strong knowledge of Informatica Master Data Management (MDM) and will be responsible for creating data architecture strategies that align with business goals. This role requires a deep understanding of data modeling, data governance, and data integration processes.

Responsibilities:
  • Design and implement data architecture solutions that support business objectives and data management strategies.
  • Lead the development and maintenance of data models, data flow diagrams, and data dictionaries.
  • Collaborate with cross functional teams to gather requirements and translate them into technical specifications.
  • Ensure data quality and integrity through the implementation of data governance practices.
  • Utilize Informatica MDM to manage master data and ensure consistency across various systems.
  • Develop and enforce data management policies and standards.
  • Provide technical guidance and mentorship to junior data team members.
  • Stay updated with industry trends and best practices in data architecture and MDM.
Mandatory Skills:
  • Strong expertise in Informatica MDM is a deal breaker.
  • Proven experience in data modeling, data warehousing, and ETL processes.
  • In depth knowledge of database technologies (e.g., SQL, NoSQL).
  • Experience with data governance frameworks and best practices.
  • Strong analytical and problem solving skills.
  • Excellent communication and interpersonal skills.
Preferred Skills:
  • Familiarity with cloud data platforms (e.g., AWS, Azure, Google Cloud).
  • Experience with big data technologies (e.g., Hadoop, Spark).
  • Knowledge of data visualization tools (e.g., Tableau, Power BI).
  • Certifications in data management or architecture (e.g., CDMP, TOGAF).
Qualifications:
  • Bachelors degree in Computer Science, Information Technology, or a related field; Master's degree preferred.
  • 10 15 years of experience in data architecture or related roles.
  • Proven track record of successful data architecture projects.
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