CapTech Consulting Lead Data Architect (AWS, Azure, GCP) \\\| SmartRecruiters Google Chrome Microsoft Edge Apple Safari Mozilla Firefox . Lead Data Architect (AWS, Azure, GCP) Full-time Company Description CapTech is an award-winning consulting firm that collaborates with clients to achieve whats possible through the power of technology. At CapTech, were passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country. Job Description CapTech Data Architects match our clients business goals with available technologies when developing a strategy for a successful data delivery implementation. We improve our clients business value by enhancing data use, improving effectiveness of information stewardship, and streamlining data flows. After gaining in-depth understanding of our clients business challenges, our architects apply experience-based insight and use state-of-the-art tools and techniques to identify the best solutions. We view our Data Architects as thought leaders in the data space. We task them with growing CapTech talent and expanding data and analytics delivery capabilities. Specific responsibilities for the Data Architect position include: Assessing and advocating data management technologies and practices eliminating gaps between the current state and a well-targeted future state Interpreting and delivering impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps Formulating and articulating architectural trade-offs across solution options before recommending an optimal solution ensuring technical requirements are met Leading teams of data engineers and other technical team members through design, implementation and best practices. Providing insights to executive stakeholders and development teams to ensure data architecture recommendations maximize the value of client data across the organization Works to ensure the solutions recommended are providing business value and alignment with clients strategic goals Communication with non-technical executives focusing on value of modern enterprise level data solutions Driving innovative technology solutions through thought leadership on emerging trends Sharing project solutions and outcomes with colleagues to improve delivery on future projects Leadership within the Data & Analytics practice area focused on growing and development capabilities and talent Partnering with CapTech business development team to demonstrate CapTechs technical capabilities, envision a proposed solution CapTech can offer, and estimate proposed work plans. Qualifications Typical experience for successful candidates includes: 7+ years of experience implementing with a variety of on-premises and cloud data management, integration, visualization, and analytical technologies Advanced proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks Advanced proficiency in end-to-end data architecture solutions including ingestion, storage and relational modeling leveraging industry standard languages including SQL and Python Ability to think strategically and relate architectural decisions and recommendations to business needs and client culture Ability to assess traditional and modern data architectural components based on business needs Experience in recommending data governance best practices including MDM, security, privacy and policies Experience leading enterprise engineering teams through implementations serving as POC on design decisions and best practices Preferred Qualifications Previous consulting industry experience Experience in recommending data governance best practices including MDM, security, privacy and policies Providing thought leadership and internal engagement with leadership and innovation across enterprise Participating in providing mentorship and investing talent growth within Data & Analytics practice area Awareness and continued education around emerging technologies and skills in data landscape Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions.  You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way.  Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, weve launched extended benefits to help meet our employees needs. Learning & Development Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths Modern Health A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through lifes ups and downs Carrot Fertility Inclusive fertility and family-forming coverage for all paths to parenthood including adoption, surrogacy, fertility treatments, pregnancy, and more and opportunities for employer-sponsored funds to help pay for care Fringe A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more Employee Resource Groups  Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations Philanthropic Partnerships  Opportunities to engage in partnerships and pro-bono projects that support our communities. 401(k) Matching Generous matching and no vesting period to help you continue to build financial wellness CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness each foundational to our core values.  We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE.  As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email . At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship. 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The role requires 7+ years of experience implementing on-premises and cloud data management, integration, visualization, and analytical technologies. Advanced proficiency is needed in designing and implementing modern data architectures and cloud services such as AWS, Azure, and GCP. Experience with real-time data distribution tools like Kafka, Kinesis, DataFlow, and Airflow, as well as NoSQL databases and modern data warehouse tools including Snowflake and DataBricks, is necessary. Advanced proficiency in end-to-end data architecture solutions, including ingestion, storage, and relational modeling using SQL and Python, is also required. The candidate must be able to think strategically, relate architectural decisions to business needs, and assess data architectural components. Experience in recommending data governance best practices, including MDM, security, privacy, and policies, and leading enterprise engineering teams through implementations are essential.