Data Architect

3Pillar

1d

About The Position

Embark on an exciting journey into the realm of data engineering and architecture with 3Pillar! We extend an invitation for you to join our team and gear up for a thrilling adventure. As a Data Architect you will be at the heart of the organization and support our clients to take control of their data and get value out of it by defining a reference architecture for our customers. This means that you will work closely with business leaders and information management teams to define and implement a roadmap on data architecture, data management, business intelligence or analytics solutions. If your passion for data analytics solutions that make a real-world impact, consider this your pass to the captivating world of Data Engineering!

Requirements

• Strong Database & modeling concepts with exposure to SQL & NoSQL Databases
• Strong data architecture patterns & principles, ability to design secure & scalable data lakes, data warehouse, data hubs, and other event-driven architectures
• Expertise in designing and writing ETL processes in Python / Java / Scala
• Understanding of Hadoop framework - Exposure to PySpark, Spark, Storm, HDFS, Hive
• Strong hands-on experience with either Databricks or Snowflake; experience with both is desirable.
• Knowledge of Master Data management and related tools
• Strong exposure to data security and privacy regulations (GDPR, HIPAA) and best practices
• Skilled in ensuring data accuracy, consistency, and quality
• Experience with the AWS/Azure/GCP data engineering services
• Knowledge of AWS services viz., AWS S3, Redshift, Lambda, DynamoDB, EMR, Glue, Lakeformation, Athena, Quicksight, RDS, Kinesis, Managed Kafka, API Gateway, CloudWatch
• And / OR
• Knowledge of Azure services viz., ADF, Data Catalog, Databricks, Azure Synapse Analytics, ADLS Gen2, Azure Devops
• Ability to implement data validation processes and establish data quality standards.
• Experience in Linux
• Proficiency in data visualization tools like Tableau, Power BI or similar to create meaningful insights

Nice To Haves

• Experience working with data ingestion tools such as Fivetran, stitch, or Matillion
• AWS IOT solutions
• Apache NiFi, Talend, Informatica
• Exposure to AI / ML technologies

Responsibilities

• Assess existing data components
• Perform POCs
• Consult with stakeholders
• Propose end-to-end solutions to an enterprise's data specific business problems, and taking care of data collection, extraction, integration, cleansing, enriching and data visualization
• Design large data platforms to enable Data Engineers, Analysts & scientists
• Define tools & technologies to develop automated data pipelines, write ETL processes, develop dashboard & report and create insights
• Continually reassess current state for alignment with architecture goals, best practices and business needs
• DB modeling, deciding best data storage, creating data flow diagrams, maintaining related documentation
• Take care of performance, reliability, reusability, resilience, scalability, security, privacy & data governance while designing a data architecture
• Apply or recommend best practices in architecture, coding, API integration, CI/CD pipelines
• Coordinate with data scientists, analysts, and other stakeholders for data-related needs
• Help the Practice grow by mentoring junior Practice members, leading initiatives, leading Data Offerings
• Provide thought leadership by representing the Practice / Organization on internal / external platforms
• Translate business requirements into data requests, reports and dashboards.

Benefits

• Career growth and development
• Physical and mental wellbeing
• Unlimited PTO
• 100% 3Pillar funded medical and dental coverage for employees and their dependents
• Company paid disability and life insurance
• Generous Parental Leave

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed