{"id":2522209,"url":"https://alion.io/job/cyber-group-principal-data-engineer-cg-infinity","title":"Principal Data Engineer - CG Infinity","company":{"id":3806727,"name":"Cyber Group","domain":"cginfinity.com","url":"https://alion.io/company/cyber-group-2","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"JazzHR","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Houston, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":114000,"max_usd":225000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":358},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"BigQuery","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"Dagster","optional":false},{"name":"Data Vault","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Flink","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Hadoop","optional":false},{"name":"Java","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Prefect","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Alation","optional":true},{"name":"Bicep","optional":true},{"name":"CloudFormation","optional":true},{"name":"Collibra","optional":true},{"name":"Docker","optional":true},{"name":"Feature Store","optional":true},{"name":"Great Expectations","optional":true},{"name":"Informatica","optional":true},{"name":"Kubernetes","optional":true},{"name":"Looker","optional":true},{"name":"Machine Learning","optional":true},{"name":"Master Data Management","optional":true},{"name":"Power BI","optional":true},{"name":"Pulumi","optional":true},{"name":"RAG","optional":true},{"name":"Tableau","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-10-14T11:27:47Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-14T19:57:01Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"We are seeking a Principal Data Engineer to lead the architecture, design, and delivery of modern data platforms and analytics solutions for clients. This is a hands-on technical leadership role for someone who can move comfortably between executive-level client conversations, solution architecture, engineering delivery, and mentoring high-performing data teams.\nThe ideal candidate combines deep data-engineering expertise with strong consulting instincts: they can translate business objectives into scalable technical solutions, communicate complex concepts through clear presentations, and guide teams from discovery through implementation and operationalization.\nKey Responsibilities\nLead the end-to-end architecture, design, and delivery of enterprise data engineering, data platform, and analytics solutions for client engagements.\nServe as a trusted technical advisor to client stakeholders, including technology leaders, data leaders, architects, and business partners.\nFacilitate discovery sessions, requirements workshops, technical assessments, architecture reviews, and solution-design discussions.\nTranslate business goals, data challenges, and operating-model requirements into practical data strategies, roadmaps, reference architectures, and implementation plans.\nDefine scalable, secure, reliable, and cost-effective architectures for data ingestion, transformation, storage, governance, orchestration, analytics, and data consumption.\nRemain hands-on in engineering work, including designing data pipelines, reviewing code, building proof of concepts, resolving complex technical issues, and establishing engineering patterns.\nArchitect and implement batch, real-time, streaming, and event-driven data solutions as appropriate for client needs.\nDesign modern cloud data platforms using technologies such as Snowflake, Databricks, Microsoft Fabric, Azure Data Factory, AWS Glue, Amazon Redshift, BigQuery, or equivalent platforms.\nLead the development of robust ETL/ELT pipelines, data models, data APIs, semantic layers, and data products.\nEstablish data engineering standards for code quality, testing, CI/CD, observability, metadata management, data lineage, documentation, security, and production support.\nDrive adoption of DataOps practices, infrastructure as code, automated testing, deployment pipelines, monitoring, and incident-management processes.\nPartner with data architects, data scientists, analysts, application architects, security teams, and business stakeholders to ensure solutions are aligned to enterprise architecture and business outcomes.\nPresent technical recommendations, architecture options, delivery status, risks, and strategic roadmaps to both technical and executive audiences.\nLead client-facing demonstrations, workshops, steering-committee updates, and technical presentations.\nMentor senior, mid-level, and junior data engineers; provide technical coaching, career guidance, design feedback, and hands-on support.\nLead and influence cross-functional delivery teams, including onshore/offshore engineers, architects, analysts, and client technical resources.\nParticipate in project estimation, staffing, delivery planning, risk management, solution scoping, and proposal development.\nSupport pre-sales and business-development activities, including solutioning, client presentations, technical discovery, RFP responses, estimates, and statement-of-work development.\nStay current on emerging data, cloud, AI, governance, and analytics technologies; evaluate where they provide meaningful business value for clients.\nRequired QualificationsBachelor’s degree in Computer Science, Engineering, Information Systems, or a related field; equivalent professional experience may be considered.\n10+ years of progressive experience in data engineering, data warehousing, data integration, data architecture, or related technical disciplines.\n3+ years of experience in a technical leadership, lead engineer, solution architect, staff engineer, principal engineer, or consulting leadership capacity.\nDemonstrated experience architecting and delivering enterprise-scale data platforms and data integration solutions.\nStrong hands-on expertise in SQL and at least one modern programming language, preferably Python, Scala, Java, or C#.\nStrong experience with ETL/ELT design, data pipeline development, data transformation frameworks, orchestration, and workflow automation.\nExperience with one or more cloud providers: Microsoft Azure, AWS, or Google Cloud Platform.\nExperience with modern cloud data and analytics platforms such as Databricks, Snowflake, Microsoft Fabric, Synapse Analytics, BigQuery, Redshift, or similar technologies.\nExperience with orchestration and pipeline technologies such as Apache Airflow, Azure Data Factory, AWS Step Functions, dbt, Dagster, Prefect, or equivalent tools.\nKnowledge of distributed data-processing technologies such as Apache Spark, Kafka, Flink, Hadoop ecosystems, or comparable platforms.\nExperience designing both batch and near-real-time or streaming data solutions.\nStrong understanding of dimensional modeling, data vault, normalized data models, lakehouse architectures, data lake architectures, and data warehouse design principles.\nExperience implementing data quality, data validation, monitoring, lineage, metadata, governance, and security controls.\nWorking knowledge of DevOps and DataOps practices, including Git-based source control, CI/CD, automated testing, deployment automation, and infrastructure as code.\nStrong understanding of cloud security principles, identity and access management, encryption, secrets management, and role-based access controls.\nProven ability to lead architecture discussions and make well-reasoned technical tradeoffs involving performance, scalability, reliability, maintainability, security, and cost.\nExcellent verbal, written, and presentation skills, with the ability to explain technical concepts clearly to business stakeholders and executive audiences.\nExperience in a consulting, professional services, systems integrator, or client-facing delivery environment.\n Preferred QualificationsExperience designing data platforms that support AI, machine learning, generative AI, retrieval-augmented generation, feature stores, vector databases, or advanced analytics workloads.\nCertifications in AWS, Azure, Google Cloud, Databricks, Snowflake, Microsoft Fabric, or other relevant data technologies.\nExperience with master data management, data cataloging, data governance, privacy, regulatory compliance, or data stewardship programs.\nExperience with tools such as Collibra, Alation, Microsoft Purview, Unity Catalog, Informatica, Monte Carlo, Great Expectations, or similar governance and observability platforms.\nExperience with Salesforce, SAP, ERP, CRM, finance, supply-chain, healthcare, retail, manufacturing, or other enterprise operational data domains.\nFamiliarity with BI and semantic-layer technologies such as Power BI, Tableau, Looker, ThoughtSpot, or similar platforms.\nExperience with containerization and cloud-native technologies such as Docker, Kubernetes, Terraform, CloudFormation, Bicep, or Pulumi.\nPrior experience contributing to proposals, estimates, statements of work, or technical sales pursuits.\nExperience managing or leading distributed onshore/offshore delivery teams.","description_format":"text","description_chars":7336,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-14T11:27:47Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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