Published: Mon, 09 Dec 2024 08:51:08 GMT
Data Architect at Able
Able is a rapidly growing company with a unique history and an exciting future. We were founded in 2013 as a product and engineering hub for a portfolio of early-stage start-ups and have since evolved into a trusted provider of product and technology solutions for a wide range of clients. We are now expanding our vision and looking for a talented Data Architect to join our team.
Reporting to the Director of Engineering, the Data Architect will work closely with various team members across Able and have a primary reporting alignment within the Engineering discipline. In this role, you will partner directly with client stakeholders and collaborate across disciplines, including Product, Design, and Engineering, to ensure data solutions meet business needs.
Key Responsibilities:
Strategic Architecture Leadership
– Shape large-scale data architecture vision and roadmap across client engagements
– Establish data governance policies, security frameworks, and regulatory compliance standards
– Lead data strategy decisions around platform selection, integration patterns, and scaling approaches
– Guide organizations in data modernization initiatives and federated data model adoption
Client/Partner Value Creation
– Lead technical discovery sessions to understand client’s data landscape and business requirements
– Translate complex data architectures into clear value propositions for diverse stakeholders
– Build trusted advisor relationships to guide data strategy and technology decisions
– Align data architecture recommendations with client’s business objectives and growth plans
Technical Architecture & Implementation
– Design and implement data architectures, including data lakes, warehouses, and federated systems
– Develop data integration patterns for real-time and batch processing across diverse data sources
– Create automated frameworks for data quality monitoring, validation, and lineage tracking
– Build reference architectures for common data patterns, including ETL/ELT pipelines and data mesh implementations
– Enable team success through knowledge sharing, mentoring, and documentation of best practices and compliance requirements
Business Impact & Solution Design
– Design and validate data architecture approaches through targeted POCs and pilot implementations
– Develop cost-optimized data solutions that balance performance, compliance, and scalability
– Transform business requirements into practical, production-ready data architectures
– Define and measure success metrics for data implementations and platform migrations
Qualifications:
– 10+ years of data engineering experience, with at least 5 years focused on healthcare data systems
– Extensive experience designing and implementing enterprise-scale data architectures, particularly federated data models across multiple domains and systems
– Demonstrated deep understanding and practical implementation experience of regulatory compliance frameworks, including HIPAA, HITRUST, and GDPR
– Experience with healthcare-specific standards (HL7, FHIR, DICOM) while also maintaining breadth in other industry-standard data formats and protocols
– Proven expertise in building and maintaining large-scale data pipelines using modern data processing frameworks (Spark, Hadoop) and enterprise ETL/ELT tools (Informatica, Talend, or similar)
– Proficient in multiple programming languages including Python and SQL, with strong experience in both SQL and NoSQL databases at enterprise scale
– Extensive experience with major cloud platforms (AWS/Azure/GCP) and their data services, including specific expertise with healthcare-related services and data engineering solutions
– Demonstrated strong consulting experience, including stakeholder management, technical advisory, and ability to lead architectural discussions across various business domains
– Ability to design and implement data quality frameworks, validation processes, and monitoring systems across diverse data ecosystems
– Strong leadership abilities with experience mentoring teams and driving technical strategy across multiple projects simultaneously
– Experience with modern data catalog tools, metadata management systems, and data lineage tracking
Bonus Skills/Experience:
– Master’s degree in Computer Science, Data Engineering, or a related field
– Experience with real-time data processing systems and streaming architectures using technologies like Kafka, Kinesis, or similar platforms
– Knowledge of machine learning operations and experience integrating ML models into data pipelines
– Expertise in data mesh architecture and domain-driven design principles for data platforms
– Previous experience in multiple industries beyond healthcare
– Relevant certifications in cloud platforms, data engineering, or healthcare IT systems
– Knowledge of international data privacy regulations and experience implementing compliant systems across different geographical regions
– Background in performance optimization and cost management for large-scale data systems
This position is 100% remote within LatAm. Strong verbal and written communication skills in English are a requirement.
Able’s Values:
– Put People First: We’re caring, open, and encouraging. We respect the richness that we each bring into our work.
– Imagine Better: We are optimistic in our outlook, as well as creative and proactive to deliver the highest quality.
– Expect Excellence: We commit to each other to always strive to be our best.
– Simplify to Solve: We create better outcomes by reducing complexity.
– We are all Builders: We are motivated and empowered to help build Able, and our partner’s businesses.
– One Able. Many Voices: Our unity is our strength. Our diversity is our energy.
Let’s build together.
Able is committed to inclusion and diversity and is an equal opportunity employer. All applicants will receive consideration without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, disability, or veteran status. Apply link
