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Company

phData · 5 hours ago

Principal Solutions Architect (Strategy/Data Governance)

United States

Full-time

Remote

Senior Level, Lead/Staff

8+ years exp

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Responsibilities

Drive delivery excellence and ensuring customer success

Partner closely with Sales to drive account expansion and long-term value

Manage multiple work streams

Build executive relationships

Guide clients through complex data challenges

Design scalable solutions

Create strong cross-practice relationships to drive customer success

Exhibit a strong sense of ownership in resolving challenges

Develop end-to-end technical solutions into production

Create and deliver detailed presentations

Make technical recommendations that are tied to business outcomes

Identify supporting functional recommendations

Communicate relatively technical concepts to a non-technical audience

Guide on technology rationalization decisions

Lead technical discovery sessions and workshops

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Solutions Architect experienceJavaPythonSQLSnowflakeAWSAzureGCPDatabricksData integration technologiesAgile Project ManagementData ModelingMachine LearningClient-facing communicationScalaHadoopS3ADLSHDFSGCSKuduElasticSearchCassandraKafkaSparkDbtAirflowNiFiInformatica IICSGoogle DataProc

Required

8+ years as a hands-on Solutions Architect designing and implementing data solutions

4+ years previous Consulting leadership experience working with external customers with the ability to multitask, prioritize tasks, frequently change focus, and work across a variety of projects.

Programming expertise in Java, Python and/or Scala, SQL, and core cloud data platforms including Snowflake, AWS, Azure, Databricks and GCP and strong SQL and the ability to write, debug, and optimize SQL queries

Demonstrated expertise in effectively leading and managing a team comprising Solution Architects and Data Engineers, fostering internal growth through coaching, mentoring, and performance management.

Proven track record of collaborating with client stakeholders, technology partners, and cross-functional sales and delivery team members across distributed global teams, ensuring seamless, successful project delivery outcomes.

Create strong cross-practice relationships to drive customer success.

Exhibits a strong sense of ownership in resolving challenges, committed to ensuring exceptional outcomes for all aspects of project execution.

Ability to develop end-to-end technical solutions into production — and to help ensure performance, security, scalability, and robust data integration.

Client-facing written and verbal communication skills and experience

Create and deliver detailed presentations

Adept at making technical recommendations that are tied to business outcomes, including but not limited to the following areas: Access and provisioning, Integration patterns, Privacy and security, Regulatory needs, Machine Learning and AI capabilities, Future functionality on vendor roadmaps and what that means for the organization

Able to identify supporting functional recommendations e.g. data governance process in support of a data catalog

Can communicate relatively technical concepts to a non-technical audience verbally clearly and concisely.

Has led technical discovery sessions and workshops, and brings a focus on business value to keep all participants centered on the objectives.

Able to guide on technology rationalization decisions with criteria such as TCO and business need in mind.

4-year Bachelor's degree in Computer Science or a related field

Production experience in core data platforms: Snowflake, AWS, Azure, GCP, Hadoop, Databricks

Cloud and Distributed Data Storage: S3, ADLS, HDFS, GCS, Kudu, ElasticSearch/Solr, Cassandra or other NoSQL storage systems

Data integration technologies: Spark, Kafka, event/streaming, Streamsets, Matillion, Fivetran, NiFi, AWS Data Migration Services, Azure DataFactory, Informatica Intelligent Cloud Services (IICS), Google DataProc or other data integration technologies

Multiple data sources: (e.g. queues, relational databases, files, search, API)

Complete software development life cycle experience: including design, documentation, implementation, testing, and deployment

Automated data transformation and data curation: dbt, Spark, Spark streaming, automated pipelines

Workflow Management and Orchestration: Airflow, AWS Managed Airflow, Luigi, NiFi

Methodologies: Agile Project Management, Data Modeling (e.g. Kimball, Data Vault)