Senior Data Architect

This is a remote position.

About the Role

We are seeking a seasoned Senior Data Architect with extensive experience in designing, building, and optimizing complex data landscapes, including legacy modernization projects. The ideal candidate will possess deep expertise in database management, data modeling, cloud data solutions, and ETL processes. This role demands a strategic leader capable of guiding data teams and driving the design and implementation of scalable data architectures that align with business objectives.

Key Responsibilities

• Data Architecture Design & Implementation: Lead the design and implementation of robust data architectures that support business intelligence, analytics, and operational reporting needs. Ensure scalability, performance, and security across all data systems.




• Legacy System Modernization: Spearhead initiatives to modernize legacy data systems, transitioning to cloud-based solutions and ensuring seamless integration with existing infrastructures.




• ETL Process Optimization: Oversee the development and optimization of ETL pipelines to ensure efficient data extraction, transformation, and loading processes, minimizing latency and maximizing data quality.




• Cloud Data Solutions: Architect and implement cloud-based data platforms (e.g., AWS, Azure, Google Cloud) to support data storage, processing, and analytics needs.




• Data Modeling: Design and maintain conceptual, logical, and physical data models to support data warehousing, data lakes, and business intelligence initiatives.




• Data Governance & Compliance: Establish and enforce data governance policies, ensuring data quality, security, and compliance with relevant regulations (e.g., GDPR, HIPAA).




• Team Leadership & Collaboration: Lead and mentor a team of data engineers and architects, fostering a collaborative environment. Work closely with cross-functional teams, including business analysts, data scientists, and IT, to align data strategies with business goals.




• Continuous Improvement: Stay abreast of industry trends and emerging technologies, recommending and implementing improvements to enhance data architecture and processes.

Mandatory Skills

• Data Engineering & Architecture: Proven experience in designing and implementing complex data architectures, including data warehousing, data lakes, and real-time data processing.




• ETL Processes: Expertise in developing and optimizing ETL pipelines using tools such as Informatica, Talend, Apache NiFi, or custom solutions.




• Cloud Platforms: Hands-on experience with cloud data platforms like AWS (e.g., S3, Redshift, Glue), Azure (e.g., Data Lake, Synapse), or Google Cloud (e.g., BigQuery, Dataflow).




• Database Management: Strong knowledge of relational and NoSQL databases (e.g., SQL Server, PostgreSQL, MongoDB, Cassandra).




• Data Governance & Compliance: In-depth understanding of data governance frameworks, data quality standards, and regulatory compliance requirements.

Nice-to-Have Skills

• Data Modeling: Proficiency in data modeling techniques and tools (e.g., ERwin, IBM InfoSphere Data Architect) to design efficient and scalable data models.




• Big Data Technologies: Experience with big data frameworks and tools like Hadoop, Spark, Kafka, and Hive.




• Programming Languages: Familiarity with programming languages such as Python, Java, or Scala for data processing and automation tasks.




• Business Intelligence Tools: Experience with BI tools like Tableau, Power BI, or QlikView for data visualization and reporting.