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The Data Architect supports a world-class analytics experience by implementing recognized industry best practices, including state-of-the art data control and transformation practices to enable self-service analytics throughout the organization. An in-depth understanding of OLTP and OLAP is essential for success in this position.
Responsibilities:
The Data Architect supports a world-class analytics experience by implementing recognized industry best practices, including state-of-the art data control and transformation practices to enable self-service analytics throughout the organization. An in-depth understanding of OLTP and OLAP is essential for success in this position.
The Data Architect responsibilities include:
- Planning and supporting the design and implementation of data centric infrastructure to support the analytics environment.
- Maintaining an in-depth knowledge of the organization’s data solutions and leveraging that knowledge to continuously evolve data structure for analytics at the organization.
- Architect data structures for reports and dashboards supporting internal teams and overall self-service infrastructure.
- Assisting the teams, product owners, and organization with implementing data modeling best practices.
- Participating in team collaboration through idea-sharing and brainstorming sessions.
- Provide direction on data migration, data lineage, master data management, and overall data strategy.
- Coordinating with other departments within the organization to effectively understand where additional data resources can be curated to enhance overall analytics strategy.
- Assisting the leadership team to set direction and identify solutions addressing opportunities and challenges.
- Providing ongoing feedback and assessment of project status and issues to the director.
- Demonstrating a hands-on, high energy work ethic and championing a team player attitude.
- Continually evaluate data analytics industry trends and new technologies.
- Prioritizing, coordinating, and managing varying priorities in a fast-paced environment.
Experience
- Bachelor's or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
- 3+ years of experience in a data engineering role or equivalent.
- Proficiency with programming languages such as Python, SQL, or Scala.
- Experience with big data tools such as Hadoop, Spark, or Kafka.
- Expertise in designing and optimizing ETL processes.
- Strong knowledge of data modeling, data warehousing, and working with relational databases (e.g., PostgreSQL, MySQL, Oracle).
- Experience with cloud platforms such as AWS, Google Cloud, or Azure.
- Familiarity with APIs, data lakes, and large-scale data architectures.
- Ability to collaborate in cross-functional teams and communicate technical concepts effectively.
- Strong problem-solving skills with attention to detail and ability to handle large datasets.
Preferred:
- Experience with real-time data processing frameworks (e.g., Apache Flink, Storm).
- Familiarity with machine learning pipelines and integrating them into data workflows.
- Knowledge of DevOps practices and tools (e.g., Docker, Kubernetes, Jenkins).
- Previous experience working in Data Science or Business Intelligence teams.
Preferred
- Familiarity with Jira, Jira Service Desk, cloud architecture.
- Experience with SOAP and REST API’s
- Experience with Python or R
- Microsoft Certifications
- Advertising or marketing knowledge a plus
- Experience with data architecture, data modeling, database design and the use of data warehouses and data marts.
- Experience with star and snowflake database design and modeling.
- Experience with Alteryx Server and Self-Service environments
- Experience working in an agile development environment
Requirements
Top Skills
What We Do
An independent, global marketing technology and services firm, Ansira believes in transparent partnerships to meet clients where they are on their customer experience journey. Ansira designs relevant, persuasive experiences for all the right moments; strengthening relationships, cultivating brand loyalists, and assuring profitable client growth. Teams operating across the US, Europe, South Asia, and Oceania, arm brands and their channel sales ecosystems with digital offerings, channel partner marketing technology and services, and local marketing technology to make these experiences possible.
