Data Architect

We are looking for a Data Architect to define and implement enterprise data architecture, ensuring that data is treated as a strategic asset across Landmark Group. The role will focus on building scalable, secure, and future-ready data platforms that enable advanced analytics, AI/ML, and business insights to support Landmark’s retail and digital transformation journey.

Key Responsibilities

• Define and own the enterprise data architecture strategy, frameworks, and governance models.
• Design and implement data platforms, data lakes, warehouses, and pipelines across cloud and on-premise environments.
• Partner with product, digital, and business teams to translate requirements into scalable data models and solutions.
• Establish data standards, metadata management, data quality, and security practices.
• Drive adoption of modern data architecture practices (data mesh, data fabric, streaming, real-time processing).
• Evaluate, recommend, and govern data technologies (Azure Data Platform, Snowflake, Databricks, Kafka, Informatica, etc.).
• Collaborate with integration, application, and analytics teams to ensure consistent and accurate data flow.
• Define KPIs for data availability, quality, performance, and compliance.

Key Competencies & Behaviors

• Expertise in data modeling, data warehousing, ETL/ELT pipelines, and big data technologies.
• Strong understanding of cloud-native data platforms (Azure, AWS, GCP).
• Strategic mindset with ability to align data strategy to business priorities.
• Analytical problem-solving approach with focus on data-driven decision making.
• Strong collaboration and stakeholder management skills across technology and business.
• Knowledge of data security, governance, and regulatory compliance (GDPR, CCPA, etc.).
• Excellent communication skills to articulate data concepts to technical and non-technical audiences.

Target Background

• Bachelor’s/Master’s degree in Computer Science, Information Technology, Data Science, or related field.
• 8–12 years of IT experience with at least 4–6 years in data architecture roles.
• Hands-on experience with data lakes, data warehouses, and big data ecosystems (Hadoop, Spark, Databricks).
• Strong expertise in SQL, data modeling, and ETL/ELT pipelines.
• Proven experience with cloud data platforms (Azure Synapse, Snowflake, AWS Redshift, GCP BigQuery).
• Experience in large-scale retail, e-commerce, or B2C environments (preferred).
• Certifications in cloud data platforms or data architecture (preferred).