- Define and own enterprise data quality standards, rules, and scorecards covering accuracy, completeness, consistency, timeliness, and uniqueness across core operational and analytical datasets.
- Build automated data quality monitoring and alerting so issues are caught before they reach downstream models or dashboards, not after.
- Establish and report on data quality KPIs and trends to Engineering, Data Science, and Business leadership.
- Profile and assess data across source systems, ETL pipelines, data warehouses, and reporting layers to identify anomalies and diagnose root causes, not just symptoms.
- Validate the data used by downstream forecasting, optimization, and reporting models for correctness before it reaches production.
- Design and execute test strategies for ETL processes and pipeline changes; support UAT and reconciliation efforts.
- Partner with Data Governance on standards, stewardship, metadata management, and compliance requirements.
- Translate business data requirements into concrete, measurable validation criteria alongside Data Engineering and Data Science.
- Communicate findings, risk, and remediation plans clearly to both technical and business stakeholders; mentor junior analysts.
- 7+ years of experience in Data Quality, Data Analysis, Data Governance, or Business Intelligence.
- Advanced SQL and hands-on experience profiling and validating large, complex datasets across ETL pipelines and cloud data warehouses.
- Solid grounding in data governance, lineage, metadata management, and master data concepts.
- Experience working with both relational and non-relational data stores.
- Strong analytical rigor, attention to detail, and stakeholder communication skills.
- Experience supporting AI/ML or advanced analytics initiatives, including validating data that feeds forecasting or optimization models.
- Experience with data quality automation or monitoring frameworks.
- Experience working within Agile delivery environments.
- Background in logistics, supply chain, retail, financial services, or healthcare data.
- Knowledge of relevant regulatory or data compliance frameworks.
Skills Required
- 7+ years of experience in Data Quality, Data Analysis, Data Governance, or Business Intelligence.
- Advanced SQL and hands-on experience profiling and validating large, complex datasets across ETL pipelines and cloud data warehouses.
- Solid grounding in data governance, lineage, metadata management, and master data concepts.
- Experience working with both relational and non-relational data stores.
- Strong analytical rigor, attention to detail, and stakeholder communication skills.
- Experience supporting AI/ML or advanced analytics initiatives, including validating data that feeds forecasting or optimization models.
- Experience with data quality automation or monitoring frameworks.
- Experience working within Agile delivery environments.
- Background in logistics, supply chain, retail, financial services, or healthcare data.
- Knowledge of relevant regulatory or data compliance frameworks.
What We Do
@TechBlocks we power the software defined industries (SDI) of today and tomorrow. We are a software engineering and consulting firm. We build modern digital value chains and businesses reimagined to create frictionless experiences for innovative monetization methods and drive unforeseen efficiencies. We are known to build world class custom platforms and products that are cloud native for some of the worlds largest brands. We are the go to technology partners for born in digital businesses that grew with us from "Concept to Commercialization" and have revenues between $100M - $10B. We help modern businesses transition just from a technology outsourcing mentality to help create globally distributed digital COEs and mature them. Our converged COEs that we create in partnership with our clients help power software factories that are extremely dynamic. We have created modern digital COEs and factories that are created with a single minded goal to future proof our clients businesses. Everything we do is centred around two philosophies and practices - Design Thinking and Lean Engineering. Whether it is building digital commerce platforms, marketplace for worlds largest retailers or smart utilities applications and products or digital health products/platforms that power wearables, patches or devices across healthcare landscape; we do it all with speed and sophistication that is unmatched in the industry
