Data Architect & Engineer | Build Scalable Data Solutions at Digital Foundry
CAREERS
Data Architect/Engineer
About Digital Foundry.
At Digital Foundry, we build scalable, secure, and high-performance software solutions that drive business innovation.
As a full-service software consulting firm, we specialize in custom software development, cloud architecture, DevOps, data engineering, and cybersecurity. Our team of expert engineers and strategists partner with businesses to deliver cutting-edge technology solutions that are built for growth, security, and long-term success. Whether you're launching a new product or modernizing existing systems, Digital Foundry is your trusted partner in digital transformation.
Build, Innovate, Scale
At Digital Foundry, we turn bold ideas into high-impact technology solutions that drive real business value.
Less Red Tape, More Innovation
We move fast, think big, and build smarter—because great engineering shouldn’t be slowed down by bureaucracy.
Solve Hard Problems, Work with Great People
Join a team of top-tier engineers, architects, and problem-solvers pushing the boundaries of modern software development.
At Digital Foundry, we empower businesses with scalable, high-performance data solutions that drive decision-making and innovation. We are looking for a Data Architect / Data Engineer who can design and build robust data pipelines, architectures, and analytics platforms to support enterprise-scale applications. You will work with cutting-edge technologies to create data-driven systems that optimize performance, security, and scalability.
What You’ll Do:
- Design and implement scalable data architectures for structured, semi-structured, and unstructured data.
- Develop and maintain ETL/ELT pipelines for data ingestion, transformation, and storage.
- Optimize data models and warehouses using technologies like Snowflake, Redshift, BigQuery, or Databricks.
- Implement data governance, security, and compliance best practices.
- Work with cloud-based data solutions (AWS, GCP, Azure) to ensure high availability and performance.
- Collaborate with data scientists, analysts, and application teams to enable advanced analytics and AI/ML models.
- Ensure data quality, lineage, and observability through automated monitoring and validation tools.
- Stay ahead of emerging data trends, architectures, and big data technologies.
What We’re Looking For:
- 3+ years of experience in data engineering, architecture, or analytics.
- Proficiency in SQL, Python, or Scala for data processing and transformation.
- Hands-on experience with data pipeline tools (Airflow, DBT, Apache Spark, Kafka, Flink, or similar).
- Expertise in relational and NoSQL databases (PostgreSQL, MySQL, MongoDB, Cassandra).
- Experience with data lakes, data mesh, and modern data stack methodologies.
- Strong understanding of cloud-based data platforms (AWS Redshift, GCP BigQuery, Azure Synapse).
- Knowledge of streaming and real-time data processing frameworks.
- Strong analytical skills with a problem-solving mindset for optimizing data workflows.
Why Join Digital Foundry?
- Work on cutting-edge data architectures that power real-world applications.
- A collaborative, innovation-driven culture where data is at the core of decision-making.
- Competitive salary, benefits, and opportunities to work on AI, ML, and big data projects.
- A flexible, remote-friendly work environment with growth and leadership opportunities.
If you're passionate about scalable, high-performance data solutions, we’d love to hear from you! Apply today and join Digital Foundry!