Tiger Analytics Logo

Tiger Analytics

Data Quality Architect

Reposted 4 Days Ago
Be an Early Applicant
Remote
2 Locations
Senior level
Remote
2 Locations
Senior level
The Data Quality Architect will assess and enhance data quality processes, design scalable architectures, create strategic roadmaps, and ensure data compliance and integrity.
The summary above was generated by AI
Description

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Engineering, Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

Key Responsibilities:

DG architect needs to play a key role in understanding the data quality implementation, framework and suggest roadmap for maturity along with building architecture for DQ management. Architect's key responsibilities would be 

  • Assessing the current DQ process, identifying gaps and recommending improvements.
  • Design scalable architecture for DQ management using DQ tools(Collibra preferred), Service now etc.
  • Create strategic roadmaps to align DQ initiatives  with org objectives.
  • Establish an operating model , governance policies, ensuring data integrity, ownership  and compliance
  • Collaborate with multiple teams to drive DQ solution and continuous monitoring.
  • Proficiency building issue and defect management frameworks preferred.
Requirements
  • 10+ years of experience in data governance, data management, or related fields.
  • Proven track record of leading cross-functional teams and implementing data quality programs.
  • Knowledge of industry leading data quality and data protection management practices
  • Knowledge of data quality practices, business and technology issues related to management of enterprise information assets and approaches related to data protection
  • Responsible for designing, establishing, and implementing data quality framework (Policies, standards, documentation, definitions, processes, and templates etc.)
  • Proficient in tools such as Collibra, Informatica, Alation, or other data governance platforms.
Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Top Skills

Alation
Collibra
Data Governance
Data Management
Informatica
Servicenow

Similar Jobs

16 Hours Ago
Remote
Hybrid
8 Locations
Mid level
Mid level
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
As a Machine Learning Engineer, you'll build and deploy ML models for banking, support data science efforts, and engage with product teams.
Top Skills: Amazon Web ServicesGoogle Cloud PlatformJavaPython
16 Hours Ago
Remote
Hybrid
8 Locations
Expert/Leader
Expert/Leader
Fintech • HR Tech
Lead the Growth Data Analytics team, guiding data-driven strategies and optimizing customer journey while managing a team of analysts and scientists.
Top Skills: A/B TestingData Analytics ToolsMl-Driven Growth StrategiesSQL
Yesterday
Easy Apply
Remote
Ontario, ON, CAN
Easy Apply
Mid level
Mid level
eCommerce • Information Technology • On-Demand • Professional Services • Software
The Senior Data Engineer will design and maintain marketing datasets, collaborate with cross-functional teams, and drive data quality in marketing initiatives.
Top Skills: Apache AirflowApache KafkaBigQueryDbtETLPythonSQL

What you need to know about the Montreal Tech Scene

With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.

Key Facts About Montreal Tech

  • Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
  • Major Tech Employers: SAP, Google, Microsoft, Cisco
  • Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
  • Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
  • Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
  • Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account