{"id":2422986,"url":"https://alion.io/job/phdata-senior-data-engineer-3","title":"Senior Data Engineer","company":{"id":11321,"name":"phData","domain":"phdata.io","url":"https://alion.io/company/phdata","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":20000,"max_usd":42000,"period":"year","method":"role_seniority_country_cell","sample_n":61},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anthropic","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Copilot","optional":false},{"name":"Cortex","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Fivetran","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Java","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Matillion","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Prometheus","optional":true}],"status":"live","first_seen_at":"2026-08-11T12:14:50Z","employer_posted_date":"2026-09-03","last_verified_at":"2026-10-13T06:11:33Z","board_verified":true,"closed_at":null,"days_open":62,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":62},"description":"JoinphData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.\nWe're growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.\nWhy phData?\nSnowflake Implementation Partner of the Year - 7 consecutive years, and 2026 Snowflake AI Partner of the Year\nAWS Premier Tier Services Partner - the highest tier of recognition in the AWS Partner Network\n 2025 Fivetran Partner of the Year (4th consecutive year)\n 2025 dbt Labs Partner of the Year (3x winner) with Visionary partner status\n2026 KNIME Customer Excellence Partner of the Year\n Preferred Partner in the Anthropic Claude Partner Network\n#1 Partner in Snowflake Advanced Certifications\n600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more)\nRecognized as an award-winning workplace in the US, India and LATAM\nRole Overview\nWe are looking for a Senior Data Engineer to join our Data Engineering team. In this role, you will partner with clients and technical teams to understand requirements, build scalable Data & AI solutions, and deliver high-quality engineering work from development through production deployment. You'll combine strong hands-on technical expertise with consulting skills to solve complex data challenges, contribute to technical design decisions, and collaborate effectively with client stakeholders. You won't simply write code-you'll help build production-ready solutions, contribute to successful client delivery, and embrace AI-first engineering practices that improve speed, quality, and client outcomes.\nKey Responsibilities\nParticipate in discovery sessions to understand business goals, technical requirements, and solution constraints, while translating client needs into scalable, production-ready Data & AI solutions.\nServe as a senior technical contributor throughout client engagements.\nContribute to recommendations on architecture, tooling, implementation approaches, and technical trade-offs, while developing technical documentation, implementation plans, data models, and engineering standards.\nBuild and deliver enterprise Data & AI solutions from development through production deployment, owning complex engineering workstreams while proactively identifying technical risks, troubleshooting issues, and removing implementation blockers.\nLeverage AI throughout the software delivery lifecycle to improve engineering productivity, code quality, documentation, testing, troubleshooting, and client outcomes while applying practical AI capabilities within day-to-day engineering.\nMentor engineers through technical coaching, code reviews, development best practices, and contribute to hiring, onboarding, and technical enablement.\nAbout You\nYou are a hands-on data engineer who enjoys solving complex technical challenges and building scalable, production-ready solutions. You are comfortable operating in distributed, global teams and partnering with colleagues across time zones. You combine strong communication and consulting skills with deep hands-on expertise in modern Data & AI platforms and engineering practices. You are equally comfortable writing production-quality code, contributing to technical design discussions, collaborating directly with clients, and helping engineering teams navigate complex implementation decisions while delivering measurable business value.\nRequired Qualifications\nExperience\n5+ years of experience in Data Engineering, Software Engineering, or related technical consulting roles.\nProven experience building and delivering enterprise Data & AI solutions into production within cloud environments.\nDemonstrated experience delivering with AI, leveraging modern AI technologies throughout the software delivery lifecycle to improve engineering productivity, code quality, testing, documentation, troubleshooting, and client outcomes.\nStrong consulting experience contributing to technical discovery, solution design, engineering delivery, and client-facing engagements.\nTechnical / Functional Skills\nHands-on experience with many of the following cloud and data platforms: Snowflake, Databricks, Google BigQuery, AWS, Microsoft Azure, Google Cloud Platform.\nHands-on experience with data engineering technologies: Python, SQL, Java and/or Scala, Spark, Kafka, Airflow, dbt, Fivetran, Matillion, or similar technologies.\nExperience with modern engineering practices including: CI/CD, Infrastructure as Code, observability, and monitoring.\nExperience incorporating AI into day-to-day engineering and solution delivery using technologies such as: Anthropic Claude, OpenAI, GitHub Copilot, Microsoft Copilot, Google Gemini, Snowflake Cortex AI, AWS Bedrock, LangChain, LangGraph, or similar enterprise AI development platforms and frameworks.\nPreferred Qualifications\nPreferred qualifications help candidates stand out but are not required for success in this role.\nIndustry certifications across Snowflake, AWS, Azure, GCP, Anthropic, and/or Databricks.\nContributions to technical communities through speaking, writing, open source, or internal enablement.\nWhy phData?\nImpactful Work: Partner with leading organizations on meaningful data & AI initiatives.\nCollaborative Culture: Work with a supportive, high-performing global team that values transparency, autonomy, and continuous improvement.\nGrowth Opportunities: Access to challenging projects, mentorship, and structured development pathways.\nValues-Driven: We prioritize doing the right thing for our clients, our teams, and our community.\nBenefits at phData\nIndia:\nRemote-First Workplace\nMedical Insurance for Self & Family\nMedical Insurance for Parents\nTerm Life & Personal Accident\nWellness Allowance\nBroadband Reimbursement\nContinuous learning and growth opportunities to enhance your skills and expertise\nOther benefits include paid certifications, professional development allowance, and bonuses for creating company-approved content\nphData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. 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